{"pageNumber":"1465","pageRowStart":"36600","pageSize":"25","recordCount":184634,"records":[{"id":70048807,"text":"70048807 - 2013 - Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","interactions":[],"lastModifiedDate":"2013-11-06T10:27:00","indexId":"70048807","displayToPublicDate":"2013-10-11T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","docAbstract":"Arctic freshwater ecosystems have responded rapidly to climatic changes over the last half century. Lakes and rivers are experiencing a thinning of the seasonal ice cover, which may increase potential over-wintering freshwater habitat, winter water supply for industrial withdrawal, and permafrost degradation. Here, we combined the use of ground penetrating radar (GPR) and high-resolution (HR) spotlight TerraSAR-X (TSX) satellite data (1.25 m resolution) to identify and characterize floating ice and grounded ice conditions in lakes, ponds, beaded stream pools, and an alluvial river channel. Classified ice conditions from the GPR and the TSX data showed excellent agreement: 90.6% for a predominantly floating ice lake, 99.7% for a grounded ice lake, 79.0% for a beaded stream course, and 92.1% for the alluvial river channel. A GIS-based analysis of 890 surface water features larger than 0.01 ha showed that 42% of the total surface water area potentially provided over-wintering habitat during the 2012/2013 winter. Lakes accounted for 89% of this area, whereas the alluvial river channel accounted for 10% and ponds and beaded stream pools each accounted for <1%. Identification of smaller landscape features such as beaded stream pools may be important because of their distribution and role in connecting other water bodies on the landscape. These findings advance techniques for detecting and knowledge associated with potential winter habitat distribution for fish and invertebrates at the local scale in a region of the Arctic with increasing stressors related to climate and land use change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2013.834392","usgsCitation":"Jones, B.M., Gusmeroli, A., Arp, C.D., Strozzi, T., Grosse, G., Gaglioti, B.V., and Whitman, M.S., 2013, Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data: International Journal of Remote Sensing, v. 34, no. 23, p. 8267-8279, https://doi.org/10.1080/2150704X.2013.834392.","productDescription":"13 p.","startPage":"8267","endPage":"8279","numberOfPages":"13","ipdsId":"IP-049177","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":278875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278874,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/2150704X.2013.834392"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain;Fish Creek;Judy Creek;Ublutuoch River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.599998,70.199529 ], [ -151.599998,70.335093 ], [ -151.259422,70.335093 ], [ -151.259422,70.199529 ], [ -151.599998,70.199529 ] ] ] } } ] }","volume":"34","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"527b72f5e4b0a7295d9b85b5","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":485682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strozzi, Tazio","contributorId":64547,"corporation":false,"usgs":true,"family":"Strozzi","given":"Tazio","email":"","affiliations":[],"preferred":false,"id":485679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":485680,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048761,"text":"70048761 - 2013 - A model of strength","interactions":[],"lastModifiedDate":"2014-05-30T14:43:23","indexId":"70048761","displayToPublicDate":"2013-10-11T07:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A model of strength","docAbstract":"In her AAAS News & Notes piece \"Can the Southwest manage its thirst?\" (26 July, p. 362), K. Wren quotes Ajay Kalra, who advocates a particular method for predicting Colorado River streamflow \"because it eschews complex physical climate models for a statistical data-driven modeling approach.\" A preference for data-driven models may be appropriate in this individual situation, but it is not so generally, Data-driven models often come with a warning against extrapolating beyond the range of the data used to develop the models. When the future is like the past, data-driven models can work well for prediction, but it is easy to over-model local or transient phenomena, often leading to predictive inaccuracy (1). Mechanistic models are built on established knowledge of the process that connects the response variables with the predictors, using information obtained outside of an extant data set. One may shy away from a mechanistic approach when the underlying process is judged to be too complicated, but good predictive models can be constructed with statistical components that account for ingredients missing in the mechanistic analysis. Models with sound mechanistic components are more generally applicable and robust than data-driven models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.342.6155.192","usgsCitation":"Johnson, D.H., and Cook, R., 2013, A model of strength: Science, v. 342, p. 192-193, https://doi.org/10.1126/science.342.6155.192.","productDescription":"2 p.","startPage":"192","endPage":"193","numberOfPages":"2","ipdsId":"IP-051404","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.342.6155.192"}],"volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fc0e4b0120853e8be06","contributors":{"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, R.D.","contributorId":6371,"corporation":false,"usgs":true,"family":"Cook","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":485584,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160888,"text":"70160888 - 2013 - Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","interactions":[],"lastModifiedDate":"2016-01-04T15:23:01","indexId":"70160888","displayToPublicDate":"2013-10-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","docAbstract":"<p>Magnetic anomalies provide surprising structural detail within the previously undivided Coastal Belt, the westernmost, youngest, and least-metamorphosed part of the Franciscan Complex of northern California. Although the Coastal Belt consists almost entirely of arkosic graywacke and shale of mainly Eocene age, new detailed aeromagnetic data show that it is pervasively marked by long, narrow, and regularly spaced anomalies. These anomalies arise from relatively simple tabular bodies composed principally of magnetic basalt or graywacke confi ned mainly to the top couple of kilometers, even though metamorphic grade indicates that these rocks have been more deeply buried, at depths of 5&ndash;8 km. If true, this implies surprisingly uniform uplift of these rocks. The basalt (and associated Cretaceous limestone) occurs largely in the northern part of the Coastal Belt; the graywacke is recognized only in the southern Coastal Belt and is magnetic because it contains andesitic grains. The magnetic grains were not derived from the basalt, and thus require a separate source. The anomalies defi ne simple patterns that can be related to folding and faulting within the Coastal Belt. This apparent simplicity belies complex structure mapped at outcrop scale, which can be explained if the relatively simple tabular bodies are internally deformed, fault-bounded slabs. One mechanism that can explain the widespread lateral extent of the thin layers of basalt is peeling up of the uppermost part of the oceanic crust into the accretionary prism, controlled by porosity and permeability contrasts caused by alteration in the upper part of the subducting slab. It is not clear, however, how this mechanism might generate fault-bounded layers containing magnetic graywacke. We propose that structural domains defined by anomaly trend, wavelength, and source reflect imbrication and folding during the accretion process and local plate interactions as the Mendocino triple junction migrated north, a hypothesis that should be tested by more detailed structural studies.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00942.1","usgsCitation":"Langenheim, V., Jachens, R.C., Wentworth, C.M., and McLaughlin, R.J., 2013, Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data: Geosphere, v. 9, p. 1-17, https://doi.org/10.1130/GES00942.1.","productDescription":"18 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042733","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00942.1","text":"Publisher Index Page"},{"id":313249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coastal Belt of the Franciscan Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.002685546875,\n              41.97582726102573\n            ],\n            [\n              -123.93676757812499,\n              40.70562793820589\n            ],\n            [\n              -123.431396484375,\n              39.26628442213066\n            ],\n            [\n              -122.44262695312501,\n              37.84015683604134\n            ],\n            [\n              -122.6953125,\n              37.83148014503288\n            ],\n            [\n              -123.035888671875,\n              38.09998264736481\n            ],\n            [\n              -123.77197265625,\n              38.90813299596705\n            ],\n            [\n              -123.8818359375,\n              39.842286020743394\n            ],\n            [\n              -124.4091796875,\n              40.23760536584024\n            ],\n            [\n              -124.47509765625,\n              40.65563874006118\n            ],\n            [\n              -124.244384765625,\n              41.03793062246529\n            ],\n            [\n              -124.31030273437499,\n              41.92680320648791\n            ],\n            [\n              -124.002685546875,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568ba5dbe4b0e7594ee776b9","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047120,"text":"70047120 - 2013 - Segmenting images automatically for granulometry and sedimentology: a martian case study","interactions":[],"lastModifiedDate":"2014-02-05T15:03:23","indexId":"70047120","displayToPublicDate":"2013-10-09T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Segmenting images automatically for granulometry and sedimentology: a martian case study","docAbstract":"In a companion work, we bridge the gap between mature segmentation software used in terrestrial sedimentology\nand emergent planetary segmentation with an original algorithm optimized to segment\nwhole images from the Microscopic Imager (MI) of the Mars Exploration Rovers (MER). In this work,\nwe compare its semi-automated outcome with manual photoanalyses using unconsolidated sediment\nat Gusev and Meridiani Planum sites for geologic context. On average, our code and manual segmentation\nconverge to within ~\u000210% in the number and total area of identified grains in a pseudo-random, single\nblind comparison of 50 samples. Unlike manual segmentation, it also locates finer grains in an image with\ninternal consistency, enabling robust comparisons across geologic contexts. When implemented in Mathematica-\n8, the algorithm segments an entire MI image within minutes, surpassing the extent and speed\npossible with manual segmentation by about a factor of ten. These results indicate that our algorithm\nenables not only new sedimentological insight from the MER MI data, but also detailed sedimentology\nwith the Mars Science Laboratory’s Mars Hand Lens Instrument.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.09.021","usgsCitation":"Karunatillake, S., McLennan, S.M., Herkenhoff, K.E., Husch, J.M., Hardgrove, C., and Skok, J., 2013, Segmenting images automatically for granulometry and sedimentology: a martian case study: Icarus, p. 408-417, https://doi.org/10.1016/j.icarus.2013.09.021.","productDescription":"10 p.","startPage":"408","endPage":"417","ipdsId":"IP-034002","costCenters":[],"links":[{"id":282053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282051,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2013.09.021"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71fde4b0b29085108048","contributors":{"authors":[{"text":"Karunatillake, Suniti","contributorId":40125,"corporation":false,"usgs":true,"family":"Karunatillake","given":"Suniti","email":"","affiliations":[],"preferred":false,"id":481114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLennan, Scott M.","contributorId":95388,"corporation":false,"usgs":true,"family":"McLennan","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Husch, Jonathan M.","contributorId":69061,"corporation":false,"usgs":true,"family":"Husch","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardgrove, Craig","contributorId":13546,"corporation":false,"usgs":false,"family":"Hardgrove","given":"Craig","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":481113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skok, J.R.","contributorId":11509,"corporation":false,"usgs":true,"family":"Skok","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":481112,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186187,"text":"70186187 - 2013 - Phylogenetic conservatism in plant phenology","interactions":[],"lastModifiedDate":"2017-03-31T10:18:38","indexId":"70186187","displayToPublicDate":"2013-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenetic conservatism in plant phenology","docAbstract":"Phenological events – defined points in the life cycle of a plant or animal – have been regarded as highly plastic traits, reflecting flexible responses to various environmental cues.\nThe ability of a species to track, via shifts in phenological events, the abiotic environment through time might dictate its vulnerability to future climate change. Understanding the predictors and drivers of phenological change is therefore critical. \nHere, we evaluated evidence for phylogenetic conservatism – the tendency for closely related spe-cies to share similar ecological and biological attributes – in phenological traits across flowering plants. We aggregated published and unpublished data on timing of first flower and first leaf, encompassing ~4000 species at 23 sites across the Northern Hemisphere. We reconstructed the phylogeny for the setof included species, first, using the software program Phylomatic, and second, from DNA data. We then quantified phylogenetic conservatism in plant phenology within and across sites.\nWe show that more closely related species tend to flower and leaf at similar times. By contrastingmean flowering times within and across sites, however, we illustrate that it is not the time of yearthat is conserved, but rather the phenological responses to a common set of abiotic cues.\nOur findings suggest that species cannot be treated as statistically independent when modelling phenological responses.\nSynthesis. Closely related species tend to resemble each other in the timing of their life-history events, a likely product of evolutionarily conser ved responses to environmental cues. The search for the underlying drivers of phenology must therefore account for species’ shared evolutionary histories.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12154","usgsCitation":"Davies, T.J., Wolkovich, E.M., Kraft, N.J., Salamin, N., Allen, J.M., Ault, T.R., Betancourt, J.L., Bolmgren, K., Cleland, E.E., Cook, B.I., Crimmins, T.M., Mazer, S.J., McCabe, G., Pau, S., Regetz, J., Schwartz, M.D., and Travers, S.E., 2013, Phylogenetic conservatism in plant phenology: Journal of Ecology, v. 101, no. 6, p. 1520-1530, https://doi.org/10.1111/1365-2745.12154.","productDescription":"11 p.","startPage":"1520","endPage":"1530","ipdsId":"IP-049157","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2745.12154","text":"External Repository"},{"id":338920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338878,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12154/full"}],"volume":"101","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"58df6ac7e4b02ff32c6aea69","contributors":{"authors":[{"text":"Davies, T. Jonathan","contributorId":190201,"corporation":false,"usgs":false,"family":"Davies","given":"T.","email":"","middleInitial":"Jonathan","affiliations":[],"preferred":false,"id":687797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolkovich, Elizabeth M.","contributorId":190202,"corporation":false,"usgs":false,"family":"Wolkovich","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraft, Nathan J. B.","contributorId":190203,"corporation":false,"usgs":false,"family":"Kraft","given":"Nathan","email":"","middleInitial":"J. 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,{"id":70148189,"text":"70148189 - 2013 - Network modularity reveals critical scales for connectivity in ecology and evolution","interactions":[],"lastModifiedDate":"2015-05-26T09:58:34","indexId":"70148189","displayToPublicDate":"2013-10-07T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Network modularity reveals critical scales for connectivity in ecology and evolution","docAbstract":"<p>For nearly a century, biologists have emphasized the profound importance of spatial scale for ecology, evolution and conservation. Nonetheless, objectively identifying critical scales has proven incredibly challenging. Here we extend new techniques from physics and social sciences that estimate modularity on networks to identify critical scales for movement and gene flow in animals. Using four species that vary widely in dispersal ability and include both mark-recapture and population genetic data, we identify significant modularity in three species, two of which cannot be explained by geographic distance alone. Importantly, the inclusion of modularity in connectivity and population viability assessments alters conclusions regarding patch importance to connectivity and suggests higher metapopulation viability than when ignoring this hidden spatial scale. We argue that network modularity reveals critical meso-scales that are probably common in populations, providing a powerful means of identifying fundamental scales for biology and for conservation strategies aimed at recovering imperilled species.</p>","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London","doi":"10.1038/ncomms3572","usgsCitation":"Fletcher, R., Revell, A., Reichert, B.E., Kitchens, W.M., Dixon, J., and Austin, J.D., 2013, Network modularity reveals critical scales for connectivity in ecology and evolution: Nature Communications, v. 4, p. 1-7, https://doi.org/10.1038/ncomms3572.","productDescription":"7 p.","startPage":"1","endPage":"7","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046185","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms3572","text":"Publisher Index Page"},{"id":300771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"5565994fe4b0d9246a9eb637","contributors":{"authors":[{"text":"Fletcher, Robert J.","contributorId":81785,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert J.","affiliations":[],"preferred":false,"id":547580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revell, Andre","contributorId":140922,"corporation":false,"usgs":false,"family":"Revell","given":"Andre","email":"","affiliations":[],"preferred":false,"id":547581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, J.","contributorId":98132,"corporation":false,"usgs":true,"family":"Dixon","given":"J.","affiliations":[],"preferred":false,"id":547583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, James D.","contributorId":57584,"corporation":false,"usgs":true,"family":"Austin","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547584,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174087,"text":"70174087 - 2013 - Geologic history of the summit of Axial Seamount, Juan de Fuca Ridge","interactions":[],"lastModifiedDate":"2016-06-27T21:12:04","indexId":"70174087","displayToPublicDate":"2013-10-04T07:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geologic history of the summit of Axial Seamount, Juan de Fuca Ridge","docAbstract":"<p class=\"p1\"><span class=\"s1\">Multibeam (1 m resolution) and side scan data collected from an autonomous underwater vehicle, and lava samples, radiocarbon-dated sediment cores, and observations of flow contacts collected by remotely operated vehicle were combined to reconstruct the geologic history and flow emplacement processes on Axial Seamount's summit and upper rift zones. The maps show 52 post-410 CE lava flows and 20 precaldera lava flows as old as 31.2 kyr, the inferred age of the caldera. Clastic deposits 1&ndash;2 m thick accumulated on the rims postcaldera. Between 31 ka and 410 CE, there are no known lava flows near the summit. The oldest postcaldera lava (410 CE) is a pillow cone SE of the caldera. Two flows erupted on the W rim between &sim;800 and 1000 CE. From 1220 to 1300 CE, generally small eruptions of plagioclase phyric, depleted, mafic lava occurred in the central caldera and on the east rim. Larger post-1400 CE eruptions produced inflated lobate flows of aphyric, less-depleted, and less mafic lava on the upper rift zones and in the N and S caldera. All caldera floor lava flows, and most uppermost rift zone flows, postdate 1220 CE. Activity shifted from the central caldera to the upper S rift outside the caldera, to the N rift and caldera floor, and then to the S caldera and uppermost S rift, where two historical eruptions occurred in 1998 and 2011. The average recurrence interval deduced from the flows erupted over the last 800 years is statistically identical to the 13 year interval between historical eruptions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/ggge.20240","usgsCitation":"Clague, D.A., Dreyer, B.M., Paduan, J.B., Martin, J.F., Chadwick, W.W., Caress, D., Portner, R.A., Guilderson, T.P., McGann, M., Thomas, H., Butterfield, D.A., and Embley, R.W., 2013, Geologic history of the summit of Axial Seamount, Juan de Fuca Ridge: Geochemistry, Geophysics, Geosystems, v. 14, no. 10, p. 4403-4443, https://doi.org/10.1002/ggge.20240.","productDescription":"41 p.","startPage":"4403","endPage":"4443","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062668","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/87857d64401741f38c012b80f401815a","text":"Publisher Index Page"},{"id":324489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Axial Seamount, Juan de Fuca Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -130,\n              45.9\n            ],\n            [\n              -130,\n              46\n            ],\n            [\n              -130.1,\n              46\n            ],\n            [\n              -130.1,\n              45.9\n            ],\n            [\n              -130,\n              45.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-04","publicationStatus":"PW","scienceBaseUri":"57724e30e4b07657d1a8197c","contributors":{"authors":[{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreyer, Brian M","contributorId":167471,"corporation":false,"usgs":false,"family":"Dreyer","given":"Brian","email":"","middleInitial":"M","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":640845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paduan, Jennifer B.","contributorId":167472,"corporation":false,"usgs":false,"family":"Paduan","given":"Jennifer","email":"","middleInitial":"B.","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":640846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julie F","contributorId":167473,"corporation":false,"usgs":false,"family":"Martin","given":"Julie","email":"","middleInitial":"F","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":640847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chadwick, William W","contributorId":172468,"corporation":false,"usgs":false,"family":"Chadwick","given":"William","email":"","middleInitial":"W","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":640848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caress, David W","contributorId":147194,"corporation":false,"usgs":false,"family":"Caress","given":"David W","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":640849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Portner, Ryan A","contributorId":167476,"corporation":false,"usgs":false,"family":"Portner","given":"Ryan","email":"","middleInitial":"A","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":640850,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guilderson, Thomas P.","contributorId":59121,"corporation":false,"usgs":true,"family":"Guilderson","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640851,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and 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,{"id":70188509,"text":"70188509 - 2013 - Rates and probable causes of freshwater tidal marsh failure, Potomac River Estuary, Northern Virginia, USA","interactions":[],"lastModifiedDate":"2017-06-14T14:28:15","indexId":"70188509","displayToPublicDate":"2013-10-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Rates and probable causes of freshwater tidal marsh failure, Potomac River Estuary, Northern Virginia, USA","docAbstract":"<p><span>Dyke Marsh, a distal tidal marsh along the Potomac River estuary, is diminishing rapidly in areal extent. This study documents Dyke Marsh erosion rates from the early-1860s to the present during pre-mining, mining, and post-mining phases. From the late-1930s to the mid-1970s, Dyke Marsh and the adjacent shallow riverbottom were mined for gravel, resulting in a ~55&nbsp;% initial loss of area. Marsh loss continued during the post-mining phase (1976–2012). Causes of post-mining loss were unknown, but were thought to include Potomac River flooding. Post-mining areal-erosion rates increased from 0.138&nbsp;ha&nbsp;yr</span><sup>−1</sup><span> (~0.37&nbsp;ac&nbsp;yr</span><sup>−1</sup><span>) to 0.516&nbsp;ha&nbsp;yr</span><sup>−1</sup><span>(~1.67&nbsp;ac&nbsp;yr</span><sup>−1</sup><span>), and shoreline-erosion rates increased from 0.76&nbsp;m&nbsp;yr</span><sup>−1</sup><span> (~2.5&nbsp;ft&nbsp;yr</span><sup>−1</sup><span>) to 2.60&nbsp;m&nbsp;yr</span><sup>−1</sup><span> (~8.5&nbsp;ft&nbsp;yr</span><sup>−1</sup><span>). Results suggest the accelerating post-mining erosion reflects a process-driven feedback loop, enabled by the marsh's severely-altered geomorphic and hydrologic baseline system; the primary post-mining degradation process is wave-induced erosion from northbound cyclonic storms. Dyke Marsh erosion rates are now comparable to, or exceed, rates for proximal coastal marshes in the same region. Persistent and accelerated erosion of marshland long after cessation of mining illustrates the long-term, and potentially devastating, effects that temporally-restricted, anthropogenic destabilization can have on estuarine marsh systems.</span></p>","language":"English","publisher":"Estuaries and Coasts","doi":"10.1007/s13157-013-0461-6","usgsCitation":"Litwin, R.J., Smoot, J.P., Pavich, M.J., Markewich, H.W., Oberg, E.T., Steury, B.W., Helwig, B., Santucci, V.L., and Sanders, G., 2013, Rates and probable causes of freshwater tidal marsh failure, Potomac River Estuary, Northern Virginia, USA: Wetlands, v. 33, p. 1037-1061, https://doi.org/10.1007/s13157-013-0461-6.","productDescription":"25","startPage":"1037","endPage":"1061","ipdsId":"IP-044636","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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Ben","contributorId":192895,"corporation":false,"usgs":false,"family":"Helwig","given":"Ben","email":"","affiliations":[],"preferred":false,"id":698087,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Santucci, Vincent L.","contributorId":192886,"corporation":false,"usgs":false,"family":"Santucci","given":"Vincent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":698090,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sanders, Geoffrey","contributorId":192885,"corporation":false,"usgs":false,"family":"Sanders","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":698089,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70125430,"text":"70125430 - 2013 - Ability of matrix models to explain the past and predict the future of plant populations.","interactions":[],"lastModifiedDate":"2014-09-16T17:01:40","indexId":"70125430","displayToPublicDate":"2013-10-01T17:00:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ability of matrix models to explain the past and predict the future of plant populations.","docAbstract":"Uncertainty associated with ecological forecasts has long been recognized, but forecast accuracy is rarely quantified. We evaluated how well data on 82 populations of 20 species of plants spanning 3 continents explained and predicted plant population dynamics. We parameterized stage-based matrix models with demographic data from individually marked plants and determined how well these models forecast population sizes observed at least 5 years into the future. Simple demographic models forecasted population dynamics poorly; only 40% of observed population sizes fell within our forecasts' 95% confidence limits. However, these models explained population dynamics during the years in which data were collected; observed changes in population size during the data-collection period were strongly positively correlated with population growth rate. Thus, these models are at least a sound way to quantify population status. Poor forecasts were not associated with the number of individual plants or years of data. We tested whether vital rates were density dependent and found both positive and negative density dependence. However, density dependence was not associated with forecast error. Forecast error was significantly associated with environmental differences between the data collection and forecast periods. To forecast population fates, more detailed models, such as those that project how environments are likely to change and how these changes will affect population dynamics, may be needed. Such detailed models are not always feasible. Thus, it may be wiser to make risk-averse decisions than to expect precise forecasts from models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Conservation Biology","publisherLocation":"Malden, MA","doi":"10.1111/cobi.12049","usgsCitation":"McEachern, K., Crone, E.E., Ellis, M.M., Morris, W.F., Stanley, A., Bell, T., Bierzychudek, P., Ehrlen, J., Kaye, T.N., Knight, T.M., Lesica, P., Oostermeijer, G., Quintana-Ascencio, P.F., Ticktin, T., Valverde, T., Williams, J.I., Doak, D.F., Ganesan, R., Thorpe, A.S., and Menges, E.S., 2013, Ability of matrix models to explain the past and predict the future of plant populations.: Conservation Biology, v. 27, no. 5, p. 968-978, https://doi.org/10.1111/cobi.12049.","productDescription":"11 p.","startPage":"968","endPage":"978","numberOfPages":"11","ipdsId":"IP-031182","costCenters":[{"id":651,"text":"Western 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Center","active":true,"usgs":true}],"preferred":false,"id":501411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crone, Elizabeth E.","contributorId":98576,"corporation":false,"usgs":true,"family":"Crone","given":"Elizabeth","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":501429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Martha M.","contributorId":55677,"corporation":false,"usgs":true,"family":"Ellis","given":"Martha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, William F.","contributorId":97751,"corporation":false,"usgs":true,"family":"Morris","given":"William","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":501428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanley, Amanda","contributorId":11045,"corporation":false,"usgs":true,"family":"Stanley","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":501412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Timothy","contributorId":67812,"corporation":false,"usgs":true,"family":"Bell","given":"Timothy","affiliations":[],"preferred":false,"id":501423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bierzychudek, Paulette","contributorId":65316,"corporation":false,"usgs":true,"family":"Bierzychudek","given":"Paulette","email":"","affiliations":[],"preferred":false,"id":501422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ehrlen, Johan","contributorId":55678,"corporation":false,"usgs":true,"family":"Ehrlen","given":"Johan","email":"","affiliations":[],"preferred":false,"id":501421,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kaye, Thomas N.","contributorId":97363,"corporation":false,"usgs":true,"family":"Kaye","given":"Thomas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":501427,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knight, Tiffany M.","contributorId":100671,"corporation":false,"usgs":true,"family":"Knight","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501430,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lesica, Peter","contributorId":18612,"corporation":false,"usgs":true,"family":"Lesica","given":"Peter","email":"","affiliations":[],"preferred":false,"id":501414,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oostermeijer, Gerard","contributorId":70230,"corporation":false,"usgs":true,"family":"Oostermeijer","given":"Gerard","email":"","affiliations":[],"preferred":false,"id":501424,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Quintana-Ascencio, Pedro 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F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":501418,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ganesan, Rengaian","contributorId":91346,"corporation":false,"usgs":true,"family":"Ganesan","given":"Rengaian","email":"","affiliations":[],"preferred":false,"id":501425,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thorpe, Andrea S.","contributorId":23840,"corporation":false,"usgs":true,"family":"Thorpe","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501415,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Menges, Eric S.","contributorId":94147,"corporation":false,"usgs":true,"family":"Menges","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501426,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70127934,"text":"70127934 - 2013 - Estimated global nitrogen deposition using NO<sub>2</sub> column density","interactions":[],"lastModifiedDate":"2014-10-02T15:50:54","indexId":"70127934","displayToPublicDate":"2013-10-01T15:48:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimated global nitrogen deposition using NO<sub>2</sub> column density","docAbstract":"Global nitrogen deposition has increased over the past 100 years. Monitoring and simulation studies of  nitrogen deposition have evaluated nitrogen deposition at both the global and regional scale. With the development of remote-sensing instruments, tropospheric NO<sub>2</sub> column density retrieved from Global Ozone Monitoring Experiment (GOME) and Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) sensors now provides us with a new opportunity to understand changes in reactive nitrogen in the atmosphere. The concentration of NO<sub>2</sub> in the atmosphere has a significant effect on atmospheric nitrogen deposition. According to the general nitrogen deposition calculation method, we use the principal component regression method to evaluate global nitrogen deposition based on global NO2 column density and meteorological data. From the accuracy of the simulation, about 70% of the land area of the Earth passed a significance test of regression. In addition, NO2 column density has a significant influence on regression results over 44% of global land. The simulated results show that global average nitrogen deposition was 0.34 g m<sup>−2</sup> yr<sup>−1</sup> from 1996 to 2009 and is increasing at about 1% per year. Our simulated results show that China, Europe, and the USA are the three hotspots of nitrogen deposition according to previous research findings. In this study, Southern Asia was found to be another hotspot of nitrogen deposition (about 1.58 g m<sup>−2</sup> yr<sup>−1</sup> and maintaining a high growth rate). As nitrogen deposition increases, the number of regions threatened by high nitrogen deposits is also increasing. With N emissions continuing to increase in the future, areas whose ecosystem is affected by high level nitrogen deposition will increase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.853894","usgsCitation":"Lu, X., Jiang, H., Zhang, X., Liu, J., Zhang, Z., Jin, J., Wang, Y., Xu, J., and Cheng, M., 2013, Estimated global nitrogen deposition using NO<sub>2</sub> column density: International Journal of Remote Sensing, v. 34, no. 24, p. 8893-8906, https://doi.org/10.1080/01431161.2013.853894.","productDescription":"14 p.","startPage":"8893","endPage":"8906","numberOfPages":"14","ipdsId":"IP-060188","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":294882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294874,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.853894"}],"volume":"34","issue":"24","noUsgsAuthors":false,"publicationDate":"2013-10-30","publicationStatus":"PW","scienceBaseUri":"542e6952e4b092f17df5a812","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":502706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":108417,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":502709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Xiuying","contributorId":63739,"corporation":false,"usgs":true,"family":"Zhang","given":"Xiuying","affiliations":[],"preferred":false,"id":502705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":502701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Zhen","contributorId":88286,"corporation":false,"usgs":true,"family":"Zhang","given":"Zhen","affiliations":[],"preferred":false,"id":502708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":502702,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Ying","contributorId":76237,"corporation":false,"usgs":true,"family":"Wang","given":"Ying","email":"","affiliations":[],"preferred":false,"id":502707,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xu, Jianhui","contributorId":60139,"corporation":false,"usgs":true,"family":"Xu","given":"Jianhui","email":"","affiliations":[],"preferred":false,"id":502704,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cheng, Miaomiao","contributorId":45234,"corporation":false,"usgs":true,"family":"Cheng","given":"Miaomiao","email":"","affiliations":[],"preferred":false,"id":502703,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047104,"text":"70047104 - 2013 - Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","interactions":[],"lastModifiedDate":"2014-02-05T15:39:57","indexId":"70047104","displayToPublicDate":"2013-10-01T15:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","docAbstract":"Water clarity increased in nearshore areas of western Lake Erie by the early-1990s mainly as a result of the filtering activities of dreissenid mussels (Dreissena spp.), which invaded in the mid-1980s. We hypothesized that increased water clarity would result in greater trawl avoidance and thus reduced ability to capture fish in bottom trawls during daytime compared to nighttime. We examined this hypothesis by summarizing three analyses on fish data collected in western Lake Erie. First, we used a two-tiered modeling approach on the ration (R) of catch per hour (CPH) of age-0 yellow perch (Perca flavencens Mitchell) at night to CPH during daytime in 1961-2005. The best a priori and a posteriori models indicated a shift to higher CPH at night (R > 1) between 1990 and 1991, which corresponded to 3 years after the dreissenid invasion and when water clarity noticeably increased at nearshore sites. Secondly, we examined effects of nighttime sampling on estimates of abundance of age-2 and older yellow perch, which form the basis for recommended allowable harvest (RAH). When data from night sampling were included in models that predict abundance of age-2 yellow perch from indices of abundance of age-0 and age-1 yellow perch, predicted abundance was lower and model precision, as measured by r-squared, was higher compared to models that excluded data collected at night. Furthermore, the use of only CPH data collected at night typically resulted in lower estimates of abundance and more precise models compared to models that included CPH data collected during both daytime and nighttime. Thirdly, we used presence/absence data from paired bottom trawl samples to calculate an index of capture probability (or catchability) to determine if our ability to capture the four most common benthic species in western Lake Erie was affected by dreissenid-caused increased water clarity. Three species of fish(white perch, Morone americana Gmelin; yellow perch; and trout-perch, Percopsis omiscomaycus Walbaum) had lower mean daytime catchability than nighttime catchability after dreissenids became established, which supported the hypothesis of greater trawl avoidance during daytime following establishment of dreissenids. Results from freshwater drum (Aplodinotus grunniens Rafinesque) were opposite those of the other three species, which may be a result of behavioral shifts due to freshwater drum feeding on dreissenids mussels. Collectively, these three studies suggest that dreissenids indirectly affected our ability to assess fish populations, which further affects estimates of fish densities and relationships between indices of abundance and true abundance.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","publisherLocation":"Hoboken, NJ","isbn":"9781439854372","usgsCitation":"Stapanian, M.A., and Kocovsky, P., 2013, Effects of dreissenids on monitoring and management of fisheries in western Lake Erie, chap. <i>of</i> Quagga and zebra mussels: biology, impacts, and control, p. 681-692.","productDescription":"12 p.","startPage":"681","endPage":"692","numberOfPages":"12","ipdsId":"IP-027862","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":282058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3815 ], [ -83.4797,42.6773 ], [ -81.0731,42.6773 ], [ -81.0731,41.3815 ], [ -83.4797,41.3815 ] ] ] } } ] }","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd56bbe4b0b290850f7190","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":481063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103400,"text":"70103400 - 2013 - Geographic setting influences Great Lakes beach microbiological water quality","interactions":[],"lastModifiedDate":"2018-09-13T10:19:52","indexId":"70103400","displayToPublicDate":"2013-10-01T15:32:43","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Geographic setting influences Great Lakes beach microbiological water quality","docAbstract":"Understanding of factors that influence Escherichia coli (EC) and enterococci (ENT) concentrations, pathogen occurrence, and microbial sources at Great Lakes beaches comes largely from individual beach studies. Using 12 representative beaches, we tested enrichment cultures from 273 beach water and 22 tributary samples for EC, ENT, and genes indicating the bacterial pathogens Shiga-toxin producing E. coli (STEC), Shigella spp., Salmonella spp, Campylobacter jejuni/coli, and methicillin-resistant Staphylococcus aureus, and 108–145 samples for Bacteroides human, ruminant, and gull source-marker genes. EC/ENT temporal patterns, general Bacteroides concentration, and pathogen types and occurrence were regionally consistent (up to 40 km), but beach catchment variables (drains/creeks, impervious surface, urban land cover) influenced exceedances of EC/ENT standards and detections of Salmonella and STEC. Pathogen detections were more numerous when the EC/ENT Beach Action Value (but not when the Geometric Mean and Statistical Threshold Value) was exceeded. EC, ENT, and pathogens were not necessarily influenced by the same variables. Multiple Bacteroides sources, varying by date, occurred at every beach. Study of multiple beaches in different geographic settings provided new insights on the contrasting influences of regional and local variables, and a broader-scale perspective, on significance of EC/ENT exceedances, bacterial sources, and pathogen occurrence.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es402299a","usgsCitation":"Haack, S.K., Fogarty, L., Stelzer, E.A., Fuller, L.M., Brennan, A.K., Isaacs, N.M., and Johnson, H., 2013, Geographic setting influences Great Lakes beach microbiological water quality: Environmental Science & Technology, v. 47, no. 21, p. 12054-12063, https://doi.org/10.1021/es402299a.","productDescription":"10 p.","startPage":"12054","endPage":"12063","ipdsId":"IP-049093","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":473492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es402299a","text":"Publisher Index Page"},{"id":286854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es402299a"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"47","issue":"21","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"53771753e4b02eab8669ec99","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fogarty, Lisa R.","contributorId":74074,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa R.","affiliations":[],"preferred":false,"id":493328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Lori M. lmfuller@usgs.gov","contributorId":2100,"corporation":false,"usgs":true,"family":"Fuller","given":"Lori","email":"lmfuller@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Angela K. akbrennan@usgs.gov","contributorId":4892,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","email":"akbrennan@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isaacs, Natasha M. nisaacs@usgs.gov","contributorId":4918,"corporation":false,"usgs":true,"family":"Isaacs","given":"Natasha","email":"nisaacs@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744856,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171524,"text":"70171524 - 2013 - How old is the Isthmus of Panama?","interactions":[],"lastModifiedDate":"2016-06-02T14:00:42","indexId":"70171524","displayToPublicDate":"2013-10-01T15:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"How old is the Isthmus of Panama?","docAbstract":"<p><span>The Standard Model of the formation of the Isthmus of Panama proposes that final closure occurred at 4&ndash;3 Ma. The model is based on evidence from studies of marine stratigraphy, fossil sequences, divergent molecular phylogenies, the timing of the Great American Biological Interchange (GABI), and proxies for marine paleosalinity, paleobathymetry, productivity, and paleotemperatures. The new model uses cooling of magmas in the Cretaceous to Early Miocene Central American Volcanic arc to propose Eocene emergence of the discrete structural blocks of the arc and then U/Pb dating, paleomagnetic pole rotations, and atlantic sea-floor anomalies to reconfigure the blocks for different time slices back to 25 Ma. Closure is proposed at 15 Ma, because by this time the alignment of the blocks leaves no space for trans-isthmian marine passages. We propose that the Indonesian Australian Archipelago (IAA) provides a model for the Central American arc between 15 and 3 Ma because it accounts for the extensive marine interchange between the Pacific and Indian oceans through few and narrow passages while maintaining a complete separation of the terrestrial faunas (Wallace and Lydekker lines) of the two continental platforms of Sunda and Sahul. Using the Indonesian Volcanic arc as a model, we can now accommodate the general tectonic configuration and much of the emergence of the new model, while accounting for the marine fossil record, the molecular evidence of rapid recent speciation, and the delayed Great American Biotic Interchange that the New Model fails to explain.</span></p>","language":"English","publisher":"Rosenstiel School of Marine and Atmospheric Science","publisherLocation":"Coral Gables, FL","doi":"10.5343/bms.2012.1076","usgsCitation":"Anthony G Coates, and Stallard, R.F., 2013, How old is the Isthmus of Panama?: Bulletin of Marine Science, v. 89, no. 4, p. 801-813, https://doi.org/10.5343/bms.2012.1076.","productDescription":"13","startPage":"801","endPage":"813","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041701","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158b5e4b053f0edd03c5c","contributors":{"authors":[{"text":"Anthony G Coates","contributorId":169951,"corporation":false,"usgs":false,"family":"Anthony G Coates","affiliations":[{"id":25639,"text":"AGC-STRI","active":true,"usgs":false}],"preferred":false,"id":631594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198337,"text":"70198337 - 2013 - Variability and trends in irrigated and non-irrigated croplands in the central U.S","interactions":[],"lastModifiedDate":"2018-12-07T14:36:21","indexId":"70198337","displayToPublicDate":"2013-10-01T14:52:11","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Variability and trends in irrigated and non-irrigated croplands in the central U.S","docAbstract":"<p><span>Over 23 million hectares (233 thousand km</span><sup>2</sup><span>) of U.S. croplands are irrigated and there was an overall net expansion of 522 thousand hectares nationally from 2002 to 2007. Most of this expansion occurred across the High Plains Aquifer (HPA) in the central Great Plains. Until recently, there has been a lack of geospatially-detailed irrigation data that are consistent, timely, geographically extensive, and periodic to support studies linking agricultural land use change to crop yields, aquifer water use, and other factors. We employed a modeling approach implemented at two time intervals (2002 and 2007) to map irrigated agriculture across the conterminous U.S. at a sub-county spatial detail (250 m</span><sup>2</sup><span>&nbsp;spatial resolution). The model integrated U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map. The geospatial model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US), was then used to depict detailed spatial patterns of irrigation change across the HPA from 2002 to 2007. Spatial changes in irrigation may result in shifts in local and regional climate, groundwater depletion, and higher crop yields and farm income. A closer investigation of irrigated corn across the HPA from 2000 to 2012 revealed even more variability through time, underscoring the need for more frequent periodic mapping of irrigated agriculture.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Second International Conference on Agro-Geoinformatics","conferenceDate":"August 12-16, 2013","conferenceLocation":"Fairfax, VA","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","publisherLocation":"Piscataway, NJ","doi":"10.1109/Argo-Geoinformatics.2013.6621888","isbn":"978-1-4799-0868-4","usgsCitation":"Brown, J.F., and Pervez, M., 2013, Variability and trends in irrigated and non-irrigated croplands in the central U.S, <i>in</i> Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings, Fairfax, VA, August 12-16, 2013, p. 102-105, https://doi.org/10.1109/Argo-Geoinformatics.2013.6621888.","productDescription":"4 p.","startPage":"102","endPage":"105","ipdsId":"IP-049069","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":359681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfd1472e4b0815414ca390c","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":741130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":741131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118095,"text":"70118095 - 2013 - The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (<i>Tamarix</i> spp.) Habitat in the Western USA","interactions":[],"lastModifiedDate":"2014-07-25T14:56:42","indexId":"70118095","displayToPublicDate":"2013-10-01T14:46:44","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (<i>Tamarix</i> spp.) Habitat in the Western USA","docAbstract":"Habitat suitability maps are commonly created by modeling a species’ environmental niche from occurrences and environmental characteristics. Here, we introduce the hyper-envelope modeling interface (HEMI), providing a new method for creating habitat suitability models using Bezier surfaces to model a species niche in environmental space. HEMI allows modeled surfaces to be visualized and edited in environmental space based on expert knowledge and does not require absence points for model development. The modeled surfaces require relatively few parameters compared to similar modeling approaches and may produce models that better match ecological niche theory. As a case study, we modeled the invasive species tamarisk (<i>Tamarix</i> spp.) in the western USA. We compare results from HEMI with those from existing similar modeling approaches (including BioClim, BioMapper, and Maxent). We used synthetic surfaces to create visualizations of the various models in environmental space and used modified area under the curve (AUC) statistic and akaike information criterion (AIC) as measures of model performance. We show that HEMI produced slightly better AUC values, except for Maxent and better AIC values overall. HEMI created a model with only ten parameters while Maxent produced a model with over 100 and BioClim used only eight. Additionally, HEMI allowed visualization and editing of the model in environmental space to develop alternative potential habitat scenarios. The use of Bezier surfaces can provide simple models that match our expectations of biological niche models and, at least in some cases, out-perform more complex approaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00267-013-0144-3","usgsCitation":"Graham, J., Young, N., Jarnevich, C.S., Newman, G., Evangelista, P., and Stohlgren, T.J., 2013, The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (<i>Tamarix</i> spp.) Habitat in the Western USA: Environmental Management, v. 52, no. 4, p. 929-938, https://doi.org/10.1007/s00267-013-0144-3.","productDescription":"10 p.","startPage":"929","endPage":"938","numberOfPages":"10","costCenters":[],"links":[{"id":291030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0144-3"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-20","publicationStatus":"PW","scienceBaseUri":"57f7f22ee4b0bc0bec0a0226","contributors":{"authors":[{"text":"Graham, Jim","contributorId":37608,"corporation":false,"usgs":true,"family":"Graham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":496288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Nick","contributorId":28489,"corporation":false,"usgs":true,"family":"Young","given":"Nick","email":"","affiliations":[],"preferred":false,"id":496287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Greg","contributorId":22636,"corporation":false,"usgs":true,"family":"Newman","given":"Greg","affiliations":[],"preferred":false,"id":496286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evangelista, Paul","contributorId":46371,"corporation":false,"usgs":true,"family":"Evangelista","given":"Paul","affiliations":[],"preferred":false,"id":496289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496284,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70074270,"text":"70074270 - 2013 - Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","interactions":[],"lastModifiedDate":"2014-01-28T14:47:30","indexId":"70074270","displayToPublicDate":"2013-10-01T14:41:15","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","docAbstract":"Fiber-optic distributed temperature sensing (FO-DTS) increasingly is used to map zones of focused groundwater/surface-water exchange (GWSWE). Previous studies of GWSWE using FO-DTS involved identification of zones of focused GWSWE based on arbitrary cutoffs of FO-DTS time-series statistics (e.g., variance, cross-correlation between temperature and stage, or spectral power). New approaches are needed to extract more quantitative information from large, complex FO-DTS data sets while concurrently providing an assessment of uncertainty associated with mapping zones of focused GSWSE. Toward this end, we present a strategy combining discriminant analysis (DA) and spectral analysis (SA). We demonstrate the approach using field experimental data from a reach of the Columbia River adjacent to the Hanford 300 Area site. Results of the combined SA/DA approach are shown to be superior to previous results from qualitative interpretation of FO-DTS spectra alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20458","usgsCitation":"Mwakanyamale, K., Day-Lewis, F.D., and Slater, L.D., 2013, Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing: Water Resources Research, v. 49, no. 10, p. 6979-6984, https://doi.org/10.1002/wrcr.20458.","productDescription":"6 p.","startPage":"6979","endPage":"6984","numberOfPages":"6","ipdsId":"IP-050678","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true}],"links":[{"id":473493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20458","text":"Publisher Index Page"},{"id":281623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20458"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.400445,46.198408 ], [ -119.400445,46.370576 ], [ -119.211582,46.370576 ], [ -119.211582,46.198408 ], [ -119.400445,46.198408 ] ] ] } } ] }","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"53cd7401e4b0b29085109465","contributors":{"authors":[{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70108190,"text":"70108190 - 2013 - Distribution of extant populations of <i>Quadrula mitchelli</i> (false spike)","interactions":[],"lastModifiedDate":"2014-05-22T14:34:08","indexId":"70108190","displayToPublicDate":"2013-10-01T14:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1492,"text":"Ellipsaria","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of extant populations of <i>Quadrula mitchelli</i> (false spike)","docAbstract":"The False Spike, <i>Quadrula mitchelli</i> (Simpson 1896), is a rare species of mussel endemic to Central Texas and the Rio Grande drainage (Howells 2010). This species was thought to have been extinct until the discovery of several live individuals in the Guadalupe River and a fresh dead individual in the San Saba River in 2011 (Randklev et al. 2012; Randklev et al. in press). Since then, this species has been reported at several other locations within its historic range (Sowards et al. in press; Tsakiris and Randklev 2013; Mabe and Kennedy 2013). Here, we report on the current known distribution of this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ellipsaria","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Freshwater Mollusk Conservation Society","publisherLocation":"St. Peters, MO","usgsCitation":"Randklev, C.R., Tsakiris, E., Howells, R.G., Groce, J., Johnson, M.S., Bergmann, J., Robertson, C., Blair, A., Littrell, B., and Johnson, N., 2013, Distribution of extant populations of <i>Quadrula mitchelli</i> (false spike): Ellipsaria, v. 15, no. 3, p. 18-21.","productDescription":"4 p.","startPage":"18","endPage":"21","numberOfPages":"4","ipdsId":"IP-049497","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":287533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287532,"type":{"id":15,"text":"Index Page"},"url":"https://molluskconservation.org/MServices_Ellipsaria-archive.html"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.65,24.98 ], [ -106.65,34.04 ], [ -94.0,34.04 ], [ -94.0,24.98 ], [ -106.65,24.98 ] ] ] } } ] }","volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537f1c62e4b021317a86e2eb","contributors":{"authors":[{"text":"Randklev, Charles R.","contributorId":25470,"corporation":false,"usgs":true,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsakiris, Eric","contributorId":38063,"corporation":false,"usgs":true,"family":"Tsakiris","given":"Eric","affiliations":[],"preferred":false,"id":493986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howells, Robert G.","contributorId":21072,"corporation":false,"usgs":true,"family":"Howells","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":493983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Groce, Julie","contributorId":93828,"corporation":false,"usgs":true,"family":"Groce","given":"Julie","email":"","affiliations":[],"preferred":false,"id":493990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Matthew S. mjjohnson@usgs.gov","contributorId":55748,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":493988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergmann, Joseph","contributorId":34048,"corporation":false,"usgs":true,"family":"Bergmann","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":493985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robertson, Clint","contributorId":6378,"corporation":false,"usgs":true,"family":"Robertson","given":"Clint","affiliations":[],"preferred":false,"id":493982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blair, Andy","contributorId":82227,"corporation":false,"usgs":true,"family":"Blair","given":"Andy","email":"","affiliations":[],"preferred":false,"id":493989,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Littrell, Brad","contributorId":95394,"corporation":false,"usgs":true,"family":"Littrell","given":"Brad","email":"","affiliations":[],"preferred":false,"id":493991,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Nathan","contributorId":41745,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[],"preferred":false,"id":493987,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048525,"text":"70048525 - 2013 - Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","interactions":[],"lastModifiedDate":"2015-12-03T15:06:19","indexId":"70048525","displayToPublicDate":"2013-10-01T14:21:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","docAbstract":"<p>1. Quantifying lake biogeochemical processing at broad spatial scales requires that we scale processes along with physical metrics. Past work has primarily scaled lentic processes using estimates of lake surface area. However, many processes important to lakes, such as material, energy and biological fluxes and biogeochemical cycling, scale with lake perimeter. 2. We estimate the total lake perimeter for the contiguous United States (U.S.) and examine the sensitivity of this estimate to measurement resolution. At the original mapping resolution, lakes in the contiguous U.S. have a total perimeter of over 1.8 million km. 3. The change in measured perimeter versus measurement resolution for the contiguous U.S. had a log-log slope (also known as the fractal dimension) of \u00010.21, generally less than previously reported estimates. With changing observation resolution, total measured perimeter was most sensitive to the inclusion or exclusion of small lakes, not shoreline complexity. 4. The total aquatic&ndash;terrestrial interface in lakes is less than one-tenth that of streams and rivers, which collectively account for over 21 million km of shoreline in the contiguous U.S. This study further describes the distribution of lake perimeter and proposes a technique that can contribute to understanding continental-scale processes.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/fwb.12258","usgsCitation":"Winslow, L., Read, J.S., Hanson, P.C., and Stanley, E.H., 2013, Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution: Freshwater Biology, 11 p., https://doi.org/10.1111/fwb.12258.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051169","costCenters":[],"links":[{"id":473494,"rank":2,"type":{"id":40,"text":"Open 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,{"id":70048711,"text":"70048711 - 2013 - The state of human dimensions capacity for natural resource management: needs, knowledge, and resources","interactions":[],"lastModifiedDate":"2018-01-01T17:21:01","indexId":"70048711","displayToPublicDate":"2013-10-01T13:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"The state of human dimensions capacity for natural resource management: needs, knowledge, and resources","docAbstract":"<p>The social sciences have become increasingly important in understanding natural resource management contexts and audiences, and are essential in design and delivery of effective and durable management strategies. Yet many agencies and organizations do not have the necessary resource management. We draw on the textbook definition of HD: how and why people value natural resources, what benefits people seek and derive from those resources, and how people affect and are affected by those resources and their management (Decker, Brown, and Seimer 2001). Clearly articulating how HD information can be used and integrated into natural resource management planning and decision-making is an important challenge faced by the HD field. To address this challenge, we formed a collaborative team to explore the issue of HD capacity-building for natural resource organizations and to advance the HD field. We define HD capacity as activities, efforts, and resources that enhance the ability of HD researchers and practitioners and natural managers and decision-makers to understand and address the social aspects of conservation.</p><p>Specifically, we sought to examine current barriers to integration of HD into natural resource management, knowledge needed to improve HD capacity, and existing HD tools, resources, and training opportunities. We conducted a needs assessment of HD experts and practitioners, developed a framework for considering HD activities that can contribute both directly and indirectly throughout any phase of an adaptive management cycle, and held a workshop to review preliminary findings and gather additional input through breakout group discussions. This paper provides highlights from our collaborative initiative to help frame and inform future HD capacity-building efforts and natural resource organizations and also provides a list of existing human dimensions tools and resources.</p>","language":"English","publisher":"The George Wright Society","usgsCitation":"Sexton, N.R., Leong, K.M., Milley, B.J., Clarke, M.M., Teel, T.L., Chase, M.A., and Dietsch, A.M., 2013, The state of human dimensions capacity for natural resource management: needs, knowledge, and resources: The George Wright Forum, v. 30, no. 2, p. 142-153.","productDescription":"12 p.","startPage":"142","endPage":"153","ipdsId":"IP-050676","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":278901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278902,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/43598996"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc495e4b0850ea050cec8","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leong, Kirsten M.","contributorId":62124,"corporation":false,"usgs":true,"family":"Leong","given":"Kirsten","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milley, Brad J. bmilley@usgs.gov","contributorId":5106,"corporation":false,"usgs":true,"family":"Milley","given":"Brad","email":"bmilley@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":485465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, Melinda M.","contributorId":49264,"corporation":false,"usgs":true,"family":"Clarke","given":"Melinda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teel, Tara L.","contributorId":80169,"corporation":false,"usgs":false,"family":"Teel","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":35701,"text":"CO State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":485470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chase, Mark A.","contributorId":57757,"corporation":false,"usgs":true,"family":"Chase","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485467,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485469,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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,{"id":70099618,"text":"70099618 - 2013 - It's time for bold new approaches to link delta science and policymaking","interactions":[],"lastModifiedDate":"2020-12-29T12:33:15.460312","indexId":"70099618","displayToPublicDate":"2013-10-01T13:38:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"It's time for bold new approaches to link delta science and policymaking","docAbstract":"<p>California’s Sacramento–San Joaquin Delta is widely recognized as a highly damaged\necosystem. The Delta is also emblematic of a growing sense worldwide that society\nneeds to do a better job of using scientific knowledge to guide conservation and\nresource management policies. Fortunately, we now have an unprecedented opportunity\nto get it right in building structures that support effective science–policy linkages\nin the Delta. By adopting bold steps to implement a “one Delta, one science” approach\nfor a new Delta Science Plan, California can become a leading example of how to\ntackle the global problem of rapid ecological change and biodiversity loss.</p>\n<br/>\n<p>In this essay, we first describe the current paradox—continued environmental declines\ndespite considerable investments in science and policy actions—and the high stakes of\ngambling with failure. Next, we explore why it is so hard to use scientific knowledge\nto design and implement policies that meet society’s sustainability goals. We then\noutline promising ways to overcome these obstacles, drawing on recent experiences.\nWe conclude with thoughts on how to leverage this experience to develop a bold new\napproach to Delta science.</p>","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2013v11iss3art6","usgsCitation":"Cloern, J.E., and Hanak, E., 2013, It's time for bold new approaches to link delta science and policymaking: San Francisco Estuary and Watershed Science, v. 11, no. 3, 7 p., https://doi.org/10.15447/sfews.2013v11iss3art6.","productDescription":"7 p.","ipdsId":"IP-048889","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2013v11iss3art6","text":"Publisher Index Page"},{"id":381712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5646,38.6515 ], [ -122.5646,37.1915 ], [ -120.9973,37.1915 ], [ -120.9973,38.6515 ], [ -122.5646,38.6515 ] ] ] } } ] }","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-22","publicationStatus":"PW","scienceBaseUri":"535594a8e4b0120853e8c037","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":491988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanak, Ellen","contributorId":22674,"corporation":false,"usgs":true,"family":"Hanak","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":491989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103862,"text":"70103862 - 2013 - Seasonal circulation over the Catalan inner-shelf (northwest Mediterranean Sea)","interactions":[],"lastModifiedDate":"2014-05-08T13:34:17","indexId":"70103862","displayToPublicDate":"2013-10-01T13:28:14","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal circulation over the Catalan inner-shelf (northwest Mediterranean Sea)","docAbstract":"This study characterizes the seasonal cycle of the Catalan inner-shelf circulation using observations and complementary numerical results. The relation between seasonal circulation and forcing mechanisms is explored through the depth-averaged momentum balance, for the period between May 2010 and April 2011, when velocity observations were partially available. The monthly-mean along-shelf flow is mainly controlled by the along-shelf pressure gradient and by surface and bottom stresses. During summer, fall, and winter, the along-shelf momentum balance is dominated by the barotropic pressure gradient and local winds. During spring, both wind stress and pressure gradient act in the same direction and are compensated by bottom stress. In the cross-shelf direction the dominant forces are in geostrophic balance, consistent with dynamic altimetry data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrc.20403","usgsCitation":"Grifoll, M., Aretxabaleta, A., Pelegri, J.L., Espino, M., Warner, J., and Sanchez-Arcilla, A., 2013, Seasonal circulation over the Catalan inner-shelf (northwest Mediterranean Sea): Journal of Geophysical Research C: Oceans, v. 118, no. 10, p. 5844-5857, https://doi.org/10.1002/jgrc.20403.","productDescription":"14 p.","startPage":"5844","endPage":"5857","numberOfPages":"14","ipdsId":"IP-051806","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrc.20403","text":"Publisher Index Page"},{"id":286997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286994,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrc.20403"}],"otherGeospatial":"Catalan Sea;Mediterranean Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -10.0,35.0 ], [ -10.0,50.0 ], [ 9.0,50.0 ], [ 9.0,35.0 ], [ -10.0,35.0 ] ] ] } } ] }","volume":"118","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"536ca77ae4b060efff280dcf","contributors":{"authors":[{"text":"Grifoll, Manel","contributorId":41310,"corporation":false,"usgs":true,"family":"Grifoll","given":"Manel","affiliations":[],"preferred":false,"id":493508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aretxabaleta, Alfredo L.","contributorId":41311,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo L.","affiliations":[],"preferred":false,"id":493509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pelegri, Josep L.","contributorId":44462,"corporation":false,"usgs":true,"family":"Pelegri","given":"Josep","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Espino, Manuel","contributorId":88240,"corporation":false,"usgs":true,"family":"Espino","given":"Manuel","affiliations":[],"preferred":false,"id":493512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez-Arcilla, Agustin","contributorId":68223,"corporation":false,"usgs":true,"family":"Sanchez-Arcilla","given":"Agustin","email":"","affiliations":[],"preferred":false,"id":493511,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048208,"text":"70048208 - 2013 - Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies","interactions":[],"lastModifiedDate":"2014-01-08T13:10:33","indexId":"70048208","displayToPublicDate":"2013-10-01T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies","docAbstract":"Model-data fusion is a process in which field observations are used to constrain model parameters. How observations are used to constrain parameters has a direct impact on the carbon cycle dynamics simulated by ecosystem models. In this study, we present an evaluation of several options for the use of observations in modeling regional carbon dynamics and explore the implications of those options. We calibrated the Terrestrial Ecosystem Model on a hierarchy of three vegetation classification levels for the Alaskan boreal forest: species level, plant-functional-type level (PFT level), and biome level, and we examined the differences in simulated carbon dynamics. Species-specific field-based estimates were directly used to parameterize the model for species-level simulations, while weighted averages based on species percent cover were used to generate estimates for PFT- and biome-level model parameterization. We found that calibrated key ecosystem process parameters differed substantially among species and overlapped for species that are categorized into different PFTs. Our analysis of parameter sets suggests that the PFT-level parameterizations primarily reflected the dominant species and that functional information of some species were lost from the PFT-level parameterizations. The biome-level parameterization was primarily representative of the needleleaf PFT and lost information on broadleaf species or PFT function. Our results indicate that PFT-level simulations may be potentially representative of the performance of species-level simulations while biome-level simulations may result in biased estimates. Improved theoretical and empirical justifications for grouping species into PFTs or biomes are needed to adequately represent the dynamics of ecosystem functioning and structure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20080","usgsCitation":"He, Y., Zhuang, Q., McGuire, D., Liu, Y., and Chen, M., 2013, Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 983-993, https://doi.org/10.1002/jgrg.20080.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-042199","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrg.20080","text":"Publisher Index Page"},{"id":280733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280730,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20080"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4c35e4b0b290850f0d6a","contributors":{"authors":[{"text":"He, Yujie","contributorId":32444,"corporation":false,"usgs":true,"family":"He","given":"Yujie","affiliations":[],"preferred":false,"id":483999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":484002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, David","contributorId":37243,"corporation":false,"usgs":true,"family":"McGuire","given":"David","affiliations":[],"preferred":false,"id":484000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Yaling","contributorId":103172,"corporation":false,"usgs":true,"family":"Liu","given":"Yaling","affiliations":[],"preferred":false,"id":484003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Min","contributorId":56140,"corporation":false,"usgs":true,"family":"Chen","given":"Min","email":"","affiliations":[],"preferred":false,"id":484001,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70125661,"text":"70125661 - 2013 - Parasites as prey in aquatic food webs: implications for predator infection and parasite transmission","interactions":[],"lastModifiedDate":"2014-09-18T13:07:32","indexId":"70125661","displayToPublicDate":"2013-10-01T13:04:47","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Parasites as prey in aquatic food webs: implications for predator infection and parasite transmission","docAbstract":"While the recent inclusion of parasites into food-web studies has highlighted the role of parasites as consumers, there is accumulating evidence that parasites can also serve as prey for predators. Here we investigated empirical patterns of predation on parasites and their relationships with parasite transmission in eight topological food webs representing marine and freshwater ecosystems. Within each food web, we examined links in the typical predator–prey sub web as well as the predator–parasite sub web, i.e. the quadrant of the food web indicating which predators eat parasites. Most predator– parasite links represented ‘concomitant predation’ (consumption and death of a parasite along with the prey/host; 58–72%), followed by ‘trophic transmission’ (predator feeds on infected prey and becomes infected; 8–32%) and predation on free-living parasite life-cycle stages (4–30%). Parasite life-cycle stages had, on average, between 4.2 and 14.2 predators. Among the food webs, as predator richness increased, the number of links exploited by trophically transmitted parasites increased at about the same rate as did the number of links where these stages serve as prey. On the whole, our analyses suggest that predation on parasites has important consequences for both predators and parasites, and food web structure. Because our analysis is solely based on topological webs, determining the strength of these interactions is a promising avenue for future research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oikos","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Scandinavian Society Oikos","publisherLocation":"Copenhagen","doi":"10.1111/j.1600-0706.2013.00243.x","usgsCitation":"Thieltges, D.W., Amundsen, P., Hechinger, R., Johnson, P.T., Lafferty, L.D., Mouritsen, K.N., Preston, D.L., Reise, K., Zander, C.D., and Poulin, R., 2013, Parasites as prey in aquatic food webs: implications for predator infection and parasite transmission: Oikos, v. 122, no. 10, p. 1473-1482, https://doi.org/10.1111/j.1600-0706.2013.00243.x.","productDescription":"10 p.","startPage":"1473","endPage":"1482","numberOfPages":"10","ipdsId":"IP-027763","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473499,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/54520dcd-89c0-41a9-b6e1-f324b0d5bbda","text":"External Repository"},{"id":294163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294048,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0706.2013.00243.x"}],"volume":"122","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-04-25","publicationStatus":"PW","scienceBaseUri":"541bf447e4b0e96537ddf7db","contributors":{"authors":[{"text":"Thieltges, David W.","contributorId":56163,"corporation":false,"usgs":true,"family":"Thieltges","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":501570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundsen, Per-Arne","contributorId":83448,"corporation":false,"usgs":true,"family":"Amundsen","given":"Per-Arne","affiliations":[],"preferred":false,"id":501575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hechinger, Ryan F.","contributorId":73730,"corporation":false,"usgs":true,"family":"Hechinger","given":"Ryan F.","affiliations":[],"preferred":false,"id":501574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Pieter T.J.","contributorId":28508,"corporation":false,"usgs":true,"family":"Johnson","given":"Pieter","email":"","middleInitial":"T.J.","affiliations":[],"preferred":false,"id":501568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Levin D.","contributorId":37663,"corporation":false,"usgs":true,"family":"Lafferty","given":"Levin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":501569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mouritsen, Kim N.","contributorId":59360,"corporation":false,"usgs":true,"family":"Mouritsen","given":"Kim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":501572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Preston, Daniel L.","contributorId":58581,"corporation":false,"usgs":true,"family":"Preston","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":501571,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reise, Karsten","contributorId":62527,"corporation":false,"usgs":true,"family":"Reise","given":"Karsten","email":"","affiliations":[],"preferred":false,"id":501573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zander, C. Dieter","contributorId":83852,"corporation":false,"usgs":true,"family":"Zander","given":"C.","email":"","middleInitial":"Dieter","affiliations":[],"preferred":false,"id":501576,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulin, Robert","contributorId":106813,"corporation":false,"usgs":true,"family":"Poulin","given":"Robert","email":"","affiliations":[],"preferred":false,"id":501577,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70045061,"text":"70045061 - 2013 - Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico","interactions":[],"lastModifiedDate":"2014-01-15T13:08:48","indexId":"70045061","displayToPublicDate":"2013-10-01T12:55:06","publicationYear":"2013","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":"Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico","docAbstract":"Shear‐wave velocity (V<sub>S</sub>) and time‐averaged shear‐wave velocity to 30 m depth (V<sub>S30</sub>) are the key parameters used in seismic site response modeling and earthquake engineering design. Where V<sub>S</sub> data are limited, available data are often used to develop and refine map‐based proxy models of V<sub>S30</sub> for predicting ground‐motion intensities. In this paper, we present shallow V<sub>S</sub> data from 27 sites in Puerto Rico. These data were acquired using a multimethod acquisition approach consisting of noninvasive, collocated, active‐source body‐wave (refraction/reflection), active‐source surface wave at nine sites, and passive‐source surface‐wave refraction microtremor (ReMi) techniques. V<sub>S</sub>‐versus‐depth models are constructed and used to calculate spectral response plots for each site. Factors affecting method reliability are analyzed with respect to site‐specific differences in bedrock V<sub>S</sub> and spectral response. At many but not all sites, body‐ and surface‐wave methods generally determine similar depths to bedrock, and it is the difference in bedrock V<sub>S</sub> that influences site amplification. The predicted resonant frequencies for the majority of the sites are observed to be within a relatively narrow bandwidth of 1–3.5 Hz. For a first‐order comparison of peak frequency position, predictive spectral response plots from eight sites are plotted along with seismograph instrument spectra derived from the time series of the 16 May 2010 Puerto Rico earthquake. We show how a multimethod acquisition approach using collocated arrays compliments and corroborates V<sub>S</sub> results, thus adding confidence that reliable site characterization information has been obtained.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120349","usgsCitation":"Odum, J.K., Stephenson, W.J., Williams, R., and von Hillebrandt-Andrade, C., 2013, Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico: Bulletin of the Seismological Society of America, v. 103, no. 5, p. 2709-2728, https://doi.org/10.1785/0120120349.","productDescription":"20 p.","startPage":"2709","endPage":"2728","numberOfPages":"20","ipdsId":"IP-044448","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":281099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120349"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.0,14.0 ], [ -74.0,22.0 ], [ -60.0,22.0 ], [ -60.0,14.0 ], [ -74.0,14.0 ] ] ] } } ] }","volume":"103","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53cd7b3de4b0b2908510e01f","contributors":{"authors":[{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":476709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hillebrandt-Andrade, Christa","contributorId":106593,"corporation":false,"usgs":true,"family":"von Hillebrandt-Andrade","given":"Christa","affiliations":[],"preferred":false,"id":476711,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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