Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 198 billion cubic feet of continuous gas in the Phosphoria Formation of the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183001","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Finn, T.M., Pitman, J.K., Gaswirth, S.B., Marra, K.R., Le, P.A., Klett, T.R., and Leathers-Miller, H.M., 2018, Assessment of continuous gas resources in the Phosphoria Formation of the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017: U.S. Geological Survey Fact Sheet 2018–3001, 2 p., https://doi.org/10.3133/fs20183001.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-091423","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353400,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173091","text":"Fact Sheet 2017–3091:","linkHelpText":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017"},{"id":353398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3001/coverthb.jpg"},{"id":353399,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3001/fs20183001.pdf","text":"Report","size":"1.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3001"}],"country":"United States","state":"Idaho, Utah, Wyoming","otherGeospatial":"Wyoming Thrust Belt Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 40.25\n ],\n [\n -110.25,\n 40.25\n ],\n [\n -110.25,\n 43.75\n ],\n [\n -112,\n 43.75\n ],\n [\n -112,\n 40.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
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The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center, in cooperation with the U.S. Army Corps of Engineers, Mobile District, conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Islands, Gulf Islands National Seashore, Mississippi. The objective of this study was to establish base-level elevation conditions around West Ship, East Ship, and Horn Islands and their associated active littoral system prior to restoration activities. These activities include the closure of Camille Cut and the placement of sediment in the littoral zone of East Ship Island. These surveys can be compared with future surveys to monitor sediment migration patterns post-restoration and can also be measured against historic bathymetric datasets to further our understanding of island evolution.
The USGS collected 667 line-kilometers (km) of single-beam bathymetry data and 844 line-km of interferometric swath bathymetry data in July 2016 under Field Activity Number 2016-347-FA. Data are provided in three datums: (1) the International Terrestrial Reference Frame of 2000 (ellipsoid height); (2) the North American Datum of 1983 (NAD83) CORS96 realization and the North American Vertical Datum of 1988 with respect to the GEOID12B model (orthometric height); and (3) NAD83 (CORS96) and Mean Lower Low Water (tidal datum). Data products, including x,y,zpoint datasets, trackline shapefiles, digital and handwritten Field Activity Collection Systems logs, 50-meter digital elevation model, and formal Federal Geographic Data Committee metadata, are available for download.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1081","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Mobile District","usgsCitation":"DeWitt, N.T., Stalk, C.A., Fredericks, J.J., Flocks, J.G., Kelso, K.W., Farmer, A.S., Tuten, T.M., and Buster, N.A., 2018, Nearshore coastal bathymetry data collected in 2016 from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi: U.S. Geological Survey Data Series 1081, https://doi.org/10.3133/ds1081.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092109","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1081/coverthb.jpg"},{"id":353364,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://coastal.er.usgs.gov/data-release/doi-F7B8571Q/","text":"USGS data release","description":"USGS data release","linkHelpText":"Coastal Bathymetry Data Collected in 2016 nearshore from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi"},{"id":353363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1081/","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1081"}],"country":"United States","state":"Mississippi","otherGeospatial":"Horn Islands, Gulf Islands National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.02359008789062,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.173624550358536\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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This chapter describes the ecology of important disturbance regimes in the Forest Service, U.S. Department of Agriculture (USFS) Northern Region and the Greater Yellowstone Area, hereafter called the Northern Rockies region, and potential shifts in these regimes as a consequence of observed and projected climate change. The term disturbance regime describes the general temporal and spatial characteristics of a disturbance agent - insect, disease, fire, weather, even human activity - and the effects of that agent on the landscape (table 8.1). More specifically, a disturbance regime is the cumulative effect of multiple disturbance events over space and time (Keane 2013). Disturbances disrupt an ecosystem, community, or population structure and change elements of the biological environment, physical environment, or both (White and Pickett 1985). The resulting shifting mosaic of diverse ecological patterns and structures in turn affects future patterns of disturbance, in a reciprocal, linked relationship that shapes the fundamental character of landscapes and ecosystems. Disturbance creates and maintains biological diversity in the form of shifting, heterogeneous mosaics of diverse communities and habitats across a landscape (McKinney and Drake 1998), and biodiversity is generally highest when disturbance is neither too rare nor too frequent on the landscape (Grime 1973).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change vulnerability and adaptation in the Northern Rocky Mountains - Part 2","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Loehman, R.A., Bentz, B.J., DeNitto, G.A., Keane, R.E., Manning, M., Duncan, J.P., Egan, J.M., Jackson, M.B., Kegley, S., Lockman, I.B., Pearson, D.E., Powell, J., Shelly, S., Steed, B.E., and Zambino, P.J., 2018, Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]: General Technical Report RMRS-GTR-374, 36 p.","productDescription":"36 p.","startPage":"317","endPage":"352","ipdsId":"IP-072091","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":353421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353336,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55993"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbecc","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":733249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentz, Barbara J.","contributorId":200734,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeNitto, Gregg A.","contributorId":200735,"corporation":false,"usgs":false,"family":"DeNitto","given":"Gregg","email":"","middleInitial":"A.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":733433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jacob P.","contributorId":200736,"corporation":false,"usgs":false,"family":"Duncan","given":"Jacob","email":"","middleInitial":"P.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":733434,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Egan, Joel M.","contributorId":200737,"corporation":false,"usgs":false,"family":"Egan","given":"Joel","email":"","middleInitial":"M.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, Marcus B.","contributorId":200738,"corporation":false,"usgs":false,"family":"Jackson","given":"Marcus","email":"","middleInitial":"B.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kegley, Sandra","contributorId":200739,"corporation":false,"usgs":false,"family":"Kegley","given":"Sandra","email":"","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lockman, I. Blakey","contributorId":200740,"corporation":false,"usgs":false,"family":"Lockman","given":"I.","email":"","middleInitial":"Blakey","affiliations":[{"id":27245,"text":"USDA Forest Service, Pacific Northwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":733438,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pearson, Dean E.","contributorId":200741,"corporation":false,"usgs":false,"family":"Pearson","given":"Dean","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733439,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Powell, James A.","contributorId":53514,"corporation":false,"usgs":true,"family":"Powell","given":"James A.","affiliations":[],"preferred":false,"id":733440,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shelly, Steve","contributorId":200742,"corporation":false,"usgs":false,"family":"Shelly","given":"Steve","email":"","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733441,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steed, Brytten E.","contributorId":200743,"corporation":false,"usgs":false,"family":"Steed","given":"Brytten","email":"","middleInitial":"E.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733442,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zambino, Paul J.","contributorId":200744,"corporation":false,"usgs":false,"family":"Zambino","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733443,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70196495,"text":"70196495 - 2018 - The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","interactions":[],"lastModifiedDate":"2018-04-13T10:39:20","indexId":"70196495","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","docAbstract":"Source-bordering dunefields (SBDs), which are primarily built and maintained with river-derived sediment, are found in many large river valleys and are currently impacted by changes in sediment supply due to climate change, land use changes, and river regulation. Despite their importance, a physically based, applied approach for quantifying the response of SBDs to changes in sediment supply does not exist. To address this knowledge gap, here we develop an approach for quantifying the geomorphic responses to sediment-supply alteration based on the interpretation of dunefield morphodynamics from geomorphic change detection and wind characteristics. We use the approach to test hypotheses about the response of individual dunefields to variability in sediment supply at three SBDs along the Colorado River in Grand Canyon, Arizona, USA during the 11 years between 2002 and 2013 when several river floods rebuilt some river sandbars and channel margin deposits that serve as sediment source areas for the SBDs. We demonstrate that resupply of fluvially sourced aeolian sediment occurred at one of the SBDs, but not at the other two, and attribute this differential response to site-specific variability in geomorphology, wind, and sediment source areas. The approach we present is applied in a companion study to shorter time periods with high-resolution topographic data that bracket individual floods in order to infer the resupply of fluvially sourced aeolian sediment to SBDs by managed river flows. Such an applied methodology could also be useful for measuring sediment connectivity and anthropogenic alterations of connectivity in other coupled fluvial-aeolian environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.005","usgsCitation":"Sankey, J.B., Kasprak, A., Caster, J., East, A.E., and Fairley, H.C., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics: Aeolian Research, v. 32, p. 228-245, https://doi.org/10.1016/j.aeolia.2018.02.005.","productDescription":"18 p.","startPage":"228","endPage":"245","ipdsId":"IP-091253","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.005","text":"Publisher Index Page"},{"id":353401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed0","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":204162,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":733244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196499,"text":"70196499 - 2018 - New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","interactions":[],"lastModifiedDate":"2018-04-24T14:12:57","indexId":"70196499","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":956,"text":"BMC Genomics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","title":"New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","docAbstract":"Background
Management requires a robust understanding of between- and within-species genetic variability, however such data are still lacking in many species. For example, although multiple population genetics studies of the peregrine falcon (Falco peregrinus) have been conducted, no similar studies have been done of the closely-related prairie falcon (F. mexicanus) and it is unclear how much genetic variation and population structure exists across the species’ range. Furthermore, the phylogenetic relationship of F. mexicanus relative to other falcon species is contested. We utilized a genomics approach (i.e., genome sequencing and assembly followed by single nucleotide polymorphism genotyping) to rapidly address these gaps in knowledge.
Results
We sequenced the genome of a single female prairie falcon and generated a 1.17 Gb (gigabases) draft genome assembly. We generated maximum likelihood phylogenetic trees using complete mitochondrial genomes as well as nuclear protein-coding genes. This process provided evidence that F. mexicanus is an outgroup to the clade that includes the peregrine falcon and members of the subgenus Hierofalco. We annotated > 16,000 genes and almost 600,000 high-quality single nucleotide polymorphisms (SNPs) in the nuclear genome, providing the raw material for a SNP assay design featuring > 140 gene-associated markers and a molecular-sexing marker. We subsequently genotyped ~ 100 individuals from California (including the San Francisco East Bay Area, Pinnacles National Park and the Mojave Desert) and Idaho (Snake River Birds of Prey National Conservation Area). We tested for population structure and found evidence that individuals sampled in California and Idaho represent a single panmictic population.
Conclusions
Our study illustrates how genomic resources can rapidly shed light on genetic variability in understudied species and resolve phylogenetic relationships. Furthermore, we found evidence of a single, randomly mating population of prairie falcons across our sampling locations. Prairie falcons are highly mobile and relatively rare long-distance dispersal events may promote gene flow throughout the range. As such, California’s prairie falcons might be managed as a single population, indicating that management actions undertaken to benefit the species at the local level have the potential to influence the species as a whole.
The projected rapid changes in climate will affect the unique vegetation assemblages of the Northern Rockies region in myriad ways, both directly through shifts in vegetation growth, mortality, and regeneration, and indirectly through changes in disturbance regimes and interactions with changes in other ecosystem processes, such as hydrology, snow dynamics, and exotic invasions (Bonan 2008; Hansen and Phillips 2015; Hansen et al. 2001; Notaro et al. 2007). These impacts, taken collectively, could change the way vegetation is managed by public land agencies in this area. Some species may be in danger of rapid decreases in abundance, while others may undergo range expansion (Landhäusser et al. 2010). New vegetation communities may form, while historical vegetation complexes may simply shift to other areas of the landscape or become rare. Juxtaposed with climate change concerns are the consequences of other land management policies and past activities, such as fire exclusion, fuels treatments, and grazing. A thorough assessment of the responses of vegetation to projected climate change is needed, along with an evaluation of the vulnerability of important species, communities, and vegetation-related resources that may be influenced by the effects, both direct and indirect, of climate change. This assessment must also account for past management actions and current vegetation conditions and their interactions with future climates.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change vulnerability and adaptation in the Northern Rocky Mountains - Part 1","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Keane, R.E., Mahalovich, M.F., Bollenbacher, B.L., Manning, M., Loehman, R.A., Jain, T.B., Holsinger, L.M., Larson, A.J., and Webster, M.M., 2018, Effects of climate change on forest vegetation in the Northern Rockies Region: General Technical Report RMRS-GTR-374, 46 p.","productDescription":"46 p.","startPage":"128","endPage":"173","ipdsId":"IP-072292","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":353420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353337,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55991"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbeca","contributors":{"authors":[{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahalovich, Mary Frances","contributorId":200724,"corporation":false,"usgs":false,"family":"Mahalovich","given":"Mary","email":"","middleInitial":"Frances","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":733255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollenbacher, Barry L.","contributorId":200725,"corporation":false,"usgs":false,"family":"Bollenbacher","given":"Barry","email":"","middleInitial":"L.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":733257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":733253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jain, Terrie B.","contributorId":200727,"corporation":false,"usgs":false,"family":"Jain","given":"Terrie","email":"","middleInitial":"B.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larson, Andrew J.","contributorId":197832,"corporation":false,"usgs":false,"family":"Larson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":733260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Webster, Meredith M.","contributorId":204163,"corporation":false,"usgs":false,"family":"Webster","given":"Meredith","email":"","middleInitial":"M.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":733261,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196496,"text":"70196496 - 2018 - The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2018-04-13T10:47:24","indexId":"70196496","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA","docAbstract":"In the Colorado River downstream of Glen Canyon Dam in the Grand Canyon, USA, controlled floods are used to resupply sediment to, and rebuild, river sandbars that have eroded severely over the past five decades owing to dam-induced changes in river flow and sediment supply. In this study, we examine whether controlled floods, can in turn resupply aeolian sediment to some of the large source-bordering aeolian dunefields (SBDs) along the margins of the river. Using a legacy of high-resolution lidar remote-sensing and meteorological data, we characterize the response of four SBDs (a subset of 117 SBDs and other aeolian-sand-dominated areas in the canyon) during four sediment-laden controlled floods of the Colorado River in 2012, 2013, 2014, and 2016. We find that aeolian sediment resupply unambiguously occurred in 8 of the 16 instances of controlled flooding adjacent to SBDs. Resupply attributed to individual floods varied substantially among sites, and occurred with four, three, one, and zero floods at the four sites, respectively. We infer that the relative success of controlled floods as a regulated-river management tool for resupplying sediment to SBDs is analogous to the frequency of resupply observed for fluvial sandbars in this setting, in that sediment resupply was estimated to have occurred for roughly half of the instances of recent controlled flooding at sandbars monitored separately from this study. We find the methods developed in this, and a companion study, are effective tools to quantify geomorphic changes in sediment storage, along linked fluvial and aeolian pathways of sedimentary systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.004","usgsCitation":"Sankey, J.B., Caster, J., Kasprak, A., and East, A.E., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA: Aeolian Research, v. 32, p. 154-169, https://doi.org/10.1016/j.aeolia.2018.02.004.","productDescription":"16 p.","startPage":"154","endPage":"169","ipdsId":"IP-092082","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.004","text":"Publisher Index Page"},{"id":353403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbece","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasprak, Alan 0000-0001-8184-6128 akasprak@usgs.gov","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":190848,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","email":"akasprak@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196532,"text":"70196532 - 2018 - Measuring impact crater depth throughout the solar system","interactions":[],"lastModifiedDate":"2018-10-20T11:27:30","indexId":"70196532","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Measuring impact crater depth throughout the solar system","docAbstract":"One important, almost ubiquitous, tool for understanding the surfaces of solid bodies throughout the solar system is the study of impact craters. While measuring a distribution of crater diameters and locations is an important tool for a wide variety of studies, so too is measuring a crater's “depth.” Depth can inform numerous studies including the strength of a surface and modification rates in the local environment. There is, however, no standard data set, definition, or technique to perform this data‐gathering task, and the abundance of different definitions of “depth” and methods for estimating that quantity can lead to misunderstandings in and of the literature. In this review, we describe a wide variety of data sets and methods to analyze those data sets that have been, are currently, or could be used to derive different types of crater depth measurements. We also recommend certain nomenclature in doing so to help standardize practice in the field. We present a review section of all crater depths that have been published on different solar system bodies which shows how the field has evolved through time and how some common assumptions might not be wholly accurate. We conclude with several recommendations for researchers which could help different data sets to be more easily understood and compared.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.12956","usgsCitation":"Robbins, S.J., Watters, W.A., Chappelow, J.E., Bray, V.J., Daubar, I.J., Craddock, R.A., Beyer, R.A., Landis, M., Ostrach, L.R., Tornabene, L.L., Riggs, J.D., and Weaver, B.P., 2018, Measuring impact crater depth throughout the solar system: Meteoritics and Planetary Science, v. 53, no. 4, p. 583-637, https://doi.org/10.1111/maps.12956.","productDescription":"55 p.","startPage":"583","endPage":"637","ipdsId":"IP-080986","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.12956","text":"Publisher Index Page"},{"id":353424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbebc","contributors":{"authors":[{"text":"Robbins, Stuart J.","contributorId":204229,"corporation":false,"usgs":false,"family":"Robbins","given":"Stuart","email":"","middleInitial":"J.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":733446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watters, Wesley A.","contributorId":204230,"corporation":false,"usgs":false,"family":"Watters","given":"Wesley","email":"","middleInitial":"A.","affiliations":[{"id":36886,"text":"Whitin Observatory, Department of Astronomy, Wellesley College","active":true,"usgs":false}],"preferred":false,"id":733447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chappelow, John E.","contributorId":204231,"corporation":false,"usgs":false,"family":"Chappelow","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":36887,"text":"Meteorifics Inc.","active":true,"usgs":false}],"preferred":false,"id":733448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bray, Veronica J.","contributorId":204232,"corporation":false,"usgs":false,"family":"Bray","given":"Veronica","email":"","middleInitial":"J.","affiliations":[{"id":36888,"text":"Lunar and Planetary Laboratory, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":733449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":733450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craddock, Robert A.","contributorId":204234,"corporation":false,"usgs":false,"family":"Craddock","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":36889,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, MRC-315, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":733451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":733452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landis, Margaret E.","contributorId":176713,"corporation":false,"usgs":false,"family":"Landis","given":"Margaret E.","affiliations":[{"id":25655,"text":"Lunar and Planetary Laboratory, 1629 E. University Blvd., The University of Arizona, Tucson, AZ 85721, United States","active":true,"usgs":false}],"preferred":false,"id":733453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":733445,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tornabene, Livio L.","contributorId":203691,"corporation":false,"usgs":false,"family":"Tornabene","given":"Livio","email":"","middleInitial":"L.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":733454,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riggs, Jamie D.","contributorId":204236,"corporation":false,"usgs":false,"family":"Riggs","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":733455,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weaver, Brian P.","contributorId":204237,"corporation":false,"usgs":false,"family":"Weaver","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36891,"text":"Statistical Sciences, CCS-6, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":733456,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70196527,"text":"70196527 - 2018 - Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","interactions":[],"lastModifiedDate":"2018-06-04T16:04:22","indexId":"70196527","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","docAbstract":"Methods for spectrally based mapping of river bathymetry have been developed and tested in clear‐flowing, gravel‐bed channels, with limited application to turbid, sand‐bed rivers. This study used hyperspectral images and field surveys from the dynamic, sandy Niobrara River to evaluate three depth retrieval methods. The first regression‐based approach, optimal band ratio analysis (OBRA), paired in situ depth measurements with image pixel values to estimate depth. The second approach used ground‐based field spectra to calibrate an OBRA relationship. The third technique, image‐to‐depth quantile transformation (IDQT), estimated depth by linking the cumulative distribution function (CDF) of depth to the CDF of an image‐derived variable. OBRA yielded the lowest depth retrieval mean error (0.005 m) and highest observed versus predicted R2 (0.817). Although misalignment between field and image data did not compromise the performance of OBRA in this study, poor georeferencing could limit regression‐based approaches such as OBRA in dynamic, sand‐bedded rivers. Field spectroscopy‐based depth maps exhibited a mean error with a slight shallow bias (0.068 m) but provided reliable estimates for most of the study reach. IDQT had a strong deep bias but provided informative relative depth maps. Overprediction of depth by IDQT highlights the need for an unbiased sampling strategy to define the depth CDF. Although each of the techniques we tested demonstrated potential to provide accurate depth estimates in sand‐bed rivers, each method also was subject to certain constraints and limitations.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3270","usgsCitation":"Dilbone, E., Legleiter, C.J., Alexander, J., and McElroy, B., 2018, Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA: River Research and Applications, v. 34, no. 5, p. 430-441, https://doi.org/10.1002/rra.3270.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-089149","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":437948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M647F","text":"USGS data release","linkHelpText":"Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":437947,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856NC","text":"USGS data release","linkHelpText":"Field spectra from the Niobrara River, Nebraska, August 15-18, 2016"},{"id":437946,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3CJ7","text":"USGS data release","linkHelpText":"Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":353413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Niobrara River","volume":"34","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec0","contributors":{"authors":[{"text":"Dilbone, Elizabeth 0000-0001-7360-4057","orcid":"https://orcid.org/0000-0001-7360-4057","contributorId":204219,"corporation":false,"usgs":false,"family":"Dilbone","given":"Elizabeth","email":"","affiliations":[{"id":36880,"text":"Department of Geography, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":733411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false},{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":733413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":733412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196526,"text":"70196526 - 2018 - High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","interactions":[],"lastModifiedDate":"2018-04-13T11:23:50","indexId":"70196526","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","title":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","docAbstract":"Increasingly, ecoimmunology studies aim to use relevant pathogen exposure to examine the impacts of infection on physiological processes in wild animals. Alphaviruses are arthropod-borne, single-stranded RNA (ssRNA) viruses (“arboviruses”) responsible for millions of cases of human illnesses each year. Buggy Creek virus (BCRV) is a unique alphavirus that is transmitted by a cimicid insect, the swallow bug, and is amplified in two avian species: the house sparrow (Passer domesticus) and the cliff swallow (Petrochelidon pyrrhonota). BCRV, like many alphaviruses, exhibits age-dependent susceptibility where the young are most susceptible to developing disease and exhibit a high mortality rate. However, alphavirus disease etiology in nestling birds is unknown. In this study, we infected nestling house sparrows with Buggy Creek virus and measured virological, pathological, growth, and digestive parameters following infection. Buggy Creek virus caused severe encephalitis in all infected nestlings, and the peak viral concentration in brain tissue was over 34 times greater than any other tissue. Growth, tissue development, and digestive function were all significantly impaired during BCRV infection. However, based on histopathological analysis performed, this impairment does not appear to be the result of direct tissue damage by the virus, but likely caused by encephalitis and neuronal invasion and impairment of the central nervous system. This is the first study to examine the course of alphavirus diseases in nestling birds and these results will improve our understanding of age-dependent infections of alphaviruses in vertebrate hosts.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0195467","usgsCitation":"Fassbinder-Orth, C.A., Killpack, T.L., Goto, D.S., Rainwater, E.L., and Shearn-Bochsler, V.I., 2018, High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus): PLoS ONE, v. 13, no. 4, p. 1-20, https://doi.org/10.1371/journal.pone.0195467.","productDescription":"e0195467; 20 9.","startPage":"1","endPage":"20","ipdsId":"IP-090694","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195467","text":"Publisher Index Page"},{"id":353412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec2","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol A.","contributorId":176331,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killpack, Tess L.","contributorId":204218,"corporation":false,"usgs":false,"family":"Killpack","given":"Tess","email":"","middleInitial":"L.","affiliations":[{"id":36879,"text":"Biology Department, Salem State University, 352 Lafayette Street, Salem MA, 01970","active":true,"usgs":false}],"preferred":false,"id":733409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goto, Dylan S.","contributorId":204216,"corporation":false,"usgs":false,"family":"Goto","given":"Dylan","email":"","middleInitial":"S.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rainwater, Ellecia L.","contributorId":204217,"corporation":false,"usgs":false,"family":"Rainwater","given":"Ellecia","email":"","middleInitial":"L.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":733405,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196530,"text":"70196530 - 2018 - Climate stability in Central Anatolia during the Messinian Salinity Crisis","interactions":[],"lastModifiedDate":"2018-04-13T12:28:11","indexId":"70196530","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Climate stability in Central Anatolia during the Messinian Salinity Crisis","docAbstract":"Deposition of large amounts of evaporites and erosion of deep canyons within the Mediterranean Basin as a result of reduced basin connectivity with the Atlantic Ocean and the epicontinental Paratethys Sea characterized the Messinian Salinity Crisis (MSC, 5.97–5.33 Ma). The influence of the MSC on Mediterranean environmental conditions within the basin itself has been intensely studied from marine records, but reconstructing the impact of the MSC on circum-Mediterranean continental climate has been hampered by the absence of continuous sedimentary archives that span the duration of the event.
Here, we report results of a continental record of carbon (δ13C) and oxygen (δ18O) isotopes from lake carbonates framed by new magnetostratigraphic and 40Ar/39Ar dating, as well as by existing mammal stratigraphy (Kangal Basin, central Anatolia). The sampled section records continuous fluvio-lacustrine sedimentation from ~6.6 Ma to 4.9 Ma, which spans the MSC and the Miocene-Pliocene boundary. This dataset so far represents the only continuous continental paleoenvironmental record of the MSC in the circum-Mediterranean realm.
The Kangal Basin isotope record indicates a low degree of evaporation. Furthermore, covariance between δ13C and δ18O suggests a coupling between lake water balance and biologic productivity. Variations in δ13C and δ18O therefore likely reflect changes in the amount of incoming precipitation, rather than changes in δ18O values of incoming precipitation. The most prominent spike in δ13C and δ18O occurs during the acme of the MSC and is therefore interpreted to have resulted from a decrease in the amount of incoming moisture correlative to a period of vigorous erosion and sea level lowering in the Mediterranean Basin. Major sea level lowering of Mediterranean basin waters during the acme of the MSC could have therefore led to slightly dryer conditions over Anatolia, which is also suggested by modeling studies. Overall, changes in δ13C and δ18O values are small. Therefore, we surmise that the MSC had limited effects on the paleoenvironmental and paleoclimatic conditions in the Anatolian interior.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2018.03.001","usgsCitation":"Meijers, M.J., Peynircioglu, A.A., Cosca, M.A., Brocard, G.Y., Whitney, D.L., Langereis, C.G., and Mulch, A., 2018, Climate stability in Central Anatolia during the Messinian Salinity Crisis: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 498, p. 53-67, https://doi.org/10.1016/j.palaeo.2018.03.001.","productDescription":"15 p.","startPage":"53","endPage":"67","ipdsId":"IP-095374","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468827,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.library.uu.nl/handle/1874/363327","text":"External Repository"},{"id":353419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 37.4,\n 39\n ],\n [\n 36.70,\n 39\n ],\n [\n 36.70,\n 40\n ],\n [\n 37.4,\n 40\n ],\n [\n 37.4,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"498","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbebe","contributors":{"authors":[{"text":"Meijers, Maud J.M.","contributorId":204225,"corporation":false,"usgs":false,"family":"Meijers","given":"Maud","email":"","middleInitial":"J.M.","affiliations":[{"id":36884,"text":"University of Frankfurt","active":true,"usgs":false}],"preferred":false,"id":733427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peynircioglu, Ahmet A","contributorId":204226,"corporation":false,"usgs":false,"family":"Peynircioglu","given":"Ahmet","email":"","middleInitial":"A","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":733428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brocard, Gilles Y.","contributorId":204227,"corporation":false,"usgs":false,"family":"Brocard","given":"Gilles","email":"","middleInitial":"Y.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":733429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitney, Donna L.","contributorId":187715,"corporation":false,"usgs":false,"family":"Whitney","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langereis, Cor G.","contributorId":204228,"corporation":false,"usgs":false,"family":"Langereis","given":"Cor","email":"","middleInitial":"G.","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":733431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mulch, Andreas","contributorId":194317,"corporation":false,"usgs":false,"family":"Mulch","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":733432,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196504,"text":"70196504 - 2018 - Flight response to spatial and temporal correlates informs risk from wind turbines to the California Condor","interactions":[],"lastModifiedDate":"2018-04-13T11:15:32","indexId":"70196504","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Flight response to spatial and temporal correlates informs risk from wind turbines to the California Condor","docAbstract":"Wind power is a fast-growing energy resource, but wind turbines can kill volant wildlife, and the flight behavior of obligate soaring birds can place them at risk of collision with these structures. We analyzed altitudinal data from GPS telemetry of critically endangered California Condors (Gymnogyps californianus) to assess the circumstances under which their flight behavior may place them at risk from collision with wind turbines. Condor flight behavior was strongly influenced by topography and land cover, and birds flew at lower altitudes and closer to the rotor-swept zone of wind turbines when over ridgelines and steep slopes and over forested and grassland cover types. Condor flight behavior was temporally predictable, and birds flew lower and closer to the rotor-swept zone during early morning and evening hours and during the winter months, when thermal updrafts were weakest. Although condors only occasionally flew at altitudes that placed them in the rotor-swept zone of turbines, they regularly flew near or within wind resource areas preferred by energy developers. Practitioners aiming to mitigate collision risk to this and other soaring bird species of conservation concern can consider the manner in which flight behavior varies temporally and in response to areas of high topographic relief and proximity to nocturnal roosting sites. By contrast, collision risk to large soaring birds from turbines should be relatively lower over flatter and less rugged areas and in habitat used during daytime soaring.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-100.1","usgsCitation":"Poessel, S.A., Brandt, J., Mendenhall, L.C., Braham, M., Lanzone, M., McGann, A., and Katzner, T., 2018, Flight response to spatial and temporal correlates informs risk from wind turbines to the California Condor: The Condor, v. 120, no. 2, p. 330-342, https://doi.org/10.1650/CONDOR-17-100.1.","productDescription":"13 p.","startPage":"330","endPage":"342","ipdsId":"IP-075138","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":353410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.025146484375,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 33.94335994657882\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec6","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":733293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":733294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendenhall, Laura C.","contributorId":168491,"corporation":false,"usgs":false,"family":"Mendenhall","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":733295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":733296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":733297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Andrew J.","contributorId":168492,"corporation":false,"usgs":false,"family":"McGann","given":"Andrew J.","affiliations":[{"id":25310,"text":"Cellular Tracking Technologies, LLC","active":true,"usgs":false}],"preferred":false,"id":733298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":733299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196506,"text":"70196506 - 2018 - Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","interactions":[],"lastModifiedDate":"2018-04-16T10:00:07","indexId":"70196506","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","docAbstract":"Climate change will likely alter the seasonal and annual patterns of rainfall and temperature in Hawai`i. This is a major concern for resource managers at Hawai`i Volcanoes National Park where intensely managed Special Ecological Areas (SEAs), focal sites for managing rare and endangered plants, may no longer provide suitable habitat under future climate. Expanding invasive species’ distributions also may pose a threat to areas where native plants currently predominate. We combine recent climate modeling efforts for the state of Hawai`i with plant species distribution models to forecast changes in biodiversity in SEAs under future climate conditions. Based on this bioclimatic envelope model, we generated projected species range maps for four snapshots in time (2000, 2040, 2070, and 2090) to assess whether the range of 39 native and invasive species of management interest are expected to contract, expand, or remain the same under a moderately warmer and more variable precipitation scenario. Approximately two-thirds of the modeled native species were projected to contract in range, while one-third were shown to increase. Most of the park’s SEAs were projected to lose a majority of the native species modeled. Nine of the 10 modeled invasive species were projected to contract within the park; this trend occurred in most SEAs, including those at low, middle, and high elevations. There was good congruence in the current (2000) distribution of species richness and SEA configuration; however, the congruence between species richness hotspots and SEAs diminished by the end of this century. Over time the projected species-rich hotspots increasingly occurred outside of current SEA boundaries. Our research brought together managers and scientists to increase understanding of potential climate change impacts, and provide needed information to address how plants may respond under future conditions relative to current managed areas.","language":"English","publisher":"National Park Service","usgsCitation":"Camp, R.J., Loh, R., Berkowitz, S.P., Brinck, K.W., Jacobi, J.D., Price, J., McDaniel, S., and Fortini, L.B., 2018, Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park: Park Science, v. 34, no. 1, p. 22-31.","productDescription":"10 p.","startPage":"22","endPage":"31","ipdsId":"IP-092427","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":353411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353347,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/parkscience34-1_22-31_camp_et_al_3875.htm"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.8333,\n 19\n ],\n [\n -155,\n 19\n ],\n [\n -155,\n 19.55\n ],\n [\n -155.8333,\n 19.55\n ],\n [\n -155.8333,\n 19\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec4","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":733305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loh, Rhonda","contributorId":191174,"corporation":false,"usgs":false,"family":"Loh","given":"Rhonda","email":"","affiliations":[],"preferred":false,"id":733306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berkowitz, S. Paul 0000-0002-4056-3735","orcid":"https://orcid.org/0000-0002-4056-3735","contributorId":204177,"corporation":false,"usgs":false,"family":"Berkowitz","given":"S.","email":"","middleInitial":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":733307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":733308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":733309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":733310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDaniel, Sierra","contributorId":204178,"corporation":false,"usgs":false,"family":"McDaniel","given":"Sierra","affiliations":[{"id":36871,"text":"Hawaii Volcanoes National Park, NPS","active":true,"usgs":false}],"preferred":false,"id":733311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":733312,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194212,"text":"tm16A1 - 2018 - Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","interactions":[],"lastModifiedDate":"2018-10-01T12:23:21","indexId":"tm16A1","displayToPublicDate":"2018-04-12T15:10:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"16-A1","title":"Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","docAbstract":"The Department of the Interior (DOI) is a Federal agency with over 90,000 employees across 10 bureaus and 8 agency offices. Its primary mission is to protect and manage the Nation’s natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated island communities. Data and information are critical in day-to-day operational decision making and scientific research. DOI is committed to creating, documenting, managing, and sharing high-quality data and metadata in and across its various programs that support its mission. Documenting data through metadata is essential in realizing the value of data as an enterprise asset. The completeness, consistency, and timeliness of metadata affect users’ ability to search for and discover the most relevant data for the intended purpose; and facilitates the interoperability and usability of these data among DOI bureaus and offices. Fully documented metadata describe data usability, quality, accuracy, provenance, and meaning.
Across DOI, there are different maturity levels and phases of information and metadata management implementations. The Department has organized a committee consisting of bureau-level points-of-contacts to collaborate on the development of more consistent, standardized, and more effective metadata management practices and guidance to support this shared mission and the information needs of the Department. DOI’s metadata implementation plans establish key roles and responsibilities associated with metadata management processes, procedures, and a series of actions defined in three major metadata implementation phases including: (1) Getting started—Planning Phase, (2) Implementing and Maintaining Operational Metadata Management Phase, and (3) the Next Steps towards Improving Metadata Management Phase. DOI’s phased approach for metadata management addresses some of the major data and metadata management challenges that exist across the diverse missions of the bureaus and offices. All employees who create, modify, or use data are involved with data and metadata management. Identifying, establishing, and formalizing the roles and responsibilities associated with metadata management are key to institutionalizing a framework of best practices, methodologies, processes, and common approaches throughout all levels of the organization; these are the foundation for effective data resource management. For executives and managers, metadata management strengthens their overarching views of data assets, holdings, and data interoperability; and clarifies how metadata management can help accelerate the compliance of multiple policy mandates. For employees, data stewards, and data professionals, formalized metadata management will help with the consistency of definitions, and approaches addressing data discoverability, data quality, and data lineage. In addition to data professionals and others associated with information technology; data stewards and program subject matter experts take on important metadata management roles and responsibilities as data flow through their respective business and science-related workflows. The responsibilities of establishing, practicing, and governing the actions associated with their specific metadata management roles are critical to successful metadata implementation.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Metadata in Book 16: Data resource management","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm16A1","collaboration":"Prepared in collaboration with Department of the Interior Data Resource Management in Support of the Department of the Interior Metadata Approach","usgsCitation":"Obuch, R.C., Carlino, Jennifer, Zhang, Lin, Blythe, Jonathan, Dietrich, Chris, Hawkinson, Christine, 2018, Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management: U.S. Geological Survey Techniques and Methods, book 16, chap. A1, 14 p., https://doi.org/10.3133/tm16A1.","productDescription":"vi, 14 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-087710","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353340,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/16/a1/tm16a1.pdf","text":"Report","size":"2.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 16-A1"},{"id":353339,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/16/a1/coverthb.jpg"}],"publicComments":"This report is Chapter 1 of Section A: Metadata in Book 16: Data resource management.","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Stream restoration goals include reducing erosion and increasing hyporheic exchange to promote biogeochemical processing and improve water quality. Little is known, however, about fine particle dynamics in response to stream restoration. Fine particles (<100 μm) are exchanged with transient storage areas near and within streambeds and banks. Fine particle retention directly impacts carbon and nutrient cycling by supporting benthic and hyporheic primary production, but overaccumulation of fine particle deposits can impair metabolism by burying benthic biofilms and reducing streambed permeability. We analyzed the transport and retention of water and fine particles at both the reach and local scales in a restored urban stream, 9 years postrestoration. We injected conservative solute and fine particle tracers under summer baseflow conditions and monitored their distribution between surface water, porewaters, and storage areas (i.e., biofilms, hyporheic zones, and slow surface waters). Comparison of the results to a nearby unrestored stream demonstrate that the restored reach had 10–45 times greater exchange of fine particles with transient storage zones, but 5 times lower rate of net particle immobilization. Local-scale results showed that restoration increased fine particle exchange with short-term storage areas but did not increase long-term particle retention. Thus, the restored stream rapidly exchanged fine sediments with transient storage areas, but did not store fine sediments as efficiently as the unrestored stream. The decreased retention of particulate organic matter in the restored stream may reduce biogeochemical processes, such as denitrification, by not providing sufficient organic carbon or the surface area required for microbial colonization.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JG004212","usgsCitation":"Drummond, J., Larsen, L., Gonzalez-Pinzon, R., Packman, A.I., and Harvey, J., 2018, Less fine particle retention in a restored versus unrestored urban stream: Balance between hyporheic exchange, resuspension, and immobilization: JGR Biogeosciences, v. 123, no. 4, p. 1425-1439, https://doi.org/10.1029/2017JG004212.","productDescription":"15 p.","startPage":"1425","endPage":"1439","ipdsId":"IP-094827","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jg004212","text":"Publisher Index Page"},{"id":413622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Drummond, J. D.","contributorId":9377,"corporation":false,"usgs":false,"family":"Drummond","given":"J. D.","affiliations":[],"preferred":false,"id":865493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, L. G.","contributorId":50741,"corporation":false,"usgs":true,"family":"Larsen","given":"L. G.","affiliations":[],"preferred":false,"id":865494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Pinzon, R.","contributorId":302802,"corporation":false,"usgs":false,"family":"Gonzalez-Pinzon","given":"R.","affiliations":[],"preferred":false,"id":865495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, A. I.","contributorId":198636,"corporation":false,"usgs":false,"family":"Packman","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":865496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, J. W. 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":39725,"corporation":false,"usgs":true,"family":"Harvey","given":"J. W.","affiliations":[],"preferred":false,"id":865497,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198739,"text":"70198739 - 2018 - Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine","interactions":[],"lastModifiedDate":"2018-08-20T10:40:14","indexId":"70198739","displayToPublicDate":"2018-04-12T08:31:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine","docAbstract":"Dams and their impoundments disrupt river habitat connectivity to the detriment of migratory fishes. Removal of dams improves riverine connectivity and lotic habitat, which benefits not only these fishes but also resident fluvial specialist species. Restoration efforts on the Penobscot River, Maine, are among the largest recently completed in the United States and include the removal of the two lowermost dams and improvements to fish passage at several remaining barriers. We assessed fish assemblages in the main‐stem river and several major tributaries before (2010–2012) and after (2014–2016) dam removal using boat electrofishing surveys and a stratified random sampling design. In total, we sampled 303 km of shoreline and captured 107,335 individual fish representing 39 species. Similarity indices and rarefaction curves indicated that significant changes in fish assemblage composition occurred in reaches that underwent both habitat and connectivity changes (i.e., directly above removed dams). The newly connected reaches became more similar in fish assemblage composition, as demonstrated by an average increase of 31% in similarity scores. The changes in similarity score in these reaches were driven by increasing access for anadromous fishes and decreasing abundances of slow‐water specialist species. For example, we observed a marked reduction in lacustrine species in former impoundments. These assemblage shifts were further illustrated by nonmetric multidimensional scaling in which sites directly above former dams exhibited the largest ordinal shifts immediately following dam removal. We also found all anadromous species in greatest abundance below the lowermost dam during each respective sampling period, though we did find some anadromous species above the lowermost dam during postremoval sampling. Our results demonstrate the potential for large dam removal projects to restore both fluvial and anadromous fish assemblages.
","language":"English","publisher":"American Fisheries Society ","doi":"10.1002/tafs.10053","usgsCitation":"Watson, J.M., Coghlan, S.M., Zydlewski, J.D., Hayes, D.B., and Kiraly, I.A., 2018, Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine: Transactions of the American Fisheries Society, v. 147, no. 3, p. 525-540, https://doi.org/10.1002/tafs.10053.","productDescription":"16 p.","startPage":"525","endPage":"540","ipdsId":"IP-088581","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.82659912109375,\n 45.583289756006316\n ],\n [\n -68.5382080078125,\n 45.59290020826985\n ],\n [\n -68.45855712890625,\n 45.56502536350451\n ],\n [\n -68.47366333007812,\n 45.468799075209894\n ],\n [\n -68.64120483398438,\n 45.32801318215748\n ],\n [\n -68.69888305664062,\n 45.29421101337773\n ],\n [\n -68.9007568359375,\n 45.27488643704894\n ],\n [\n -69.18228149414062,\n 45.30000710263142\n ],\n [\n -69.3621826171875,\n 45.31256326358576\n ],\n [\n -69.37179565429688,\n 45.155895559488265\n ],\n [\n -68.79364013671875,\n 45.258455371422535\n ],\n [\n -68.66867065429688,\n 45.17235628126675\n ],\n [\n -68.70574951171875,\n 45.059941562221226\n ],\n [\n -68.73870849609375,\n 44.84029065139799\n ],\n [\n -68.8623046875,\n 44.75453548416007\n ],\n [\n -68.895263671875,\n 44.65107027453459\n ],\n [\n -68.8623046875,\n 44.52588470040996\n ],\n [\n -68.78814697265625,\n 44.4808302785626\n ],\n [\n -68.719482421875,\n 44.56503415498704\n ],\n [\n -68.8018798828125,\n 44.72917434046452\n ],\n [\n -68.62884521484375,\n 44.85586880735725\n ],\n [\n -68.58489990234375,\n 45.01918507438176\n ],\n [\n -68.5931396484375,\n 45.27488643704894\n ],\n [\n -68.36242675781249,\n 45.44086267178177\n ],\n [\n -68.302001953125,\n 45.52944081525666\n ],\n [\n -68.411865234375,\n 45.62172169252446\n ],\n [\n -68.6151123046875,\n 45.70234306798271\n ],\n [\n -68.807373046875,\n 45.68123916702059\n ],\n [\n -68.82659912109375,\n 45.583289756006316\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842ffb","contributors":{"authors":[{"text":"Watson, Jonathan M.","contributorId":207174,"corporation":false,"usgs":false,"family":"Watson","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":742808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":16799,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":743031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiraly, Ian A.","contributorId":169709,"corporation":false,"usgs":false,"family":"Kiraly","given":"Ian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196478,"text":"70196478 - 2018 - A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States","interactions":[],"lastModifiedDate":"2018-04-12T16:51:47","indexId":"70196478","displayToPublicDate":"2018-04-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States","docAbstract":"Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). We developed the first calibration-grade, national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA. Using the random forest machine learning algorithm, we tested whether imagery from multiple sensors, Sentinel-1 C-band synthetic aperture radar, Landsat, and the National Agriculture Imagery Program (NAIP), can improve model performance. The final model, driven by six Landsat vegetation indices and with the soil adjusted vegetation index as the most important (n = 409, RMSE = 310 g/m2, 10.3% normalized RMSE), successfully predicted biomass for a range of marsh plant functional types defined by height, leaf angle and growth form. Model results were improved by scaling field-measured biomass calibration data by NAIP-derived 30 m fraction green vegetation. With a mean plant carbon content of 44.1% (n = 1384, 95% C.I. = 43.99%–44.37%), we generated regional 30 m aboveground carbon density maps for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program map. We applied a multivariate delta method to calculate uncertainties in regional carbon densities and stocks that considered standard error in map area, mean biomass and mean %C. Louisiana palustrine emergent marshes had the highest C density (2.67 ± 0.004 Mg/ha) of all regions, while San Francisco Bay brackish/saline marshes had the highest C density of all estuarine emergent marshes (2.03 ± 0.004 Mg/ha). Estimated C stocks for predefined jurisdictional areas ranged from 1023 ± 39 Mg in the Nisqually National Wildlife Refuge in Washington to 507,761 ± 14,822 Mg in the Terrebonne and St. Mary Parishes in Louisiana. This modeling and data synthesis effort will allow for aboveground C stocks in tidal marshes to be included in the coastal wetland section of the U.S. National Greenhouse Gas Inventory. With the increased availability of free post-processed satellite data, we provide a tractable means of modeling tidal marsh aboveground biomass and carbon at the global extent as well.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2018.03.019","usgsCitation":"Byrd, K.B., Ballanti, L., Thomas, N., Nguyen, D., Holmquist, J.R., Simard, M., and Windham-Myers, L., 2018, A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States: ISPRS Journal of Photogrammetry and Remote Sensing, v. 139, p. 255-271, https://doi.org/10.1016/j.isprsjprs.2018.03.019.","productDescription":"17 p.","startPage":"255","endPage":"271","ipdsId":"IP-091200","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468833,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2018.03.019","text":"Publisher Index Page"},{"id":437949,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90PG34S","text":"USGS data release","linkHelpText":"Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020)"},{"id":353396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed8","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":733142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":733143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nathan","contributorId":204124,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","affiliations":[{"id":33580,"text":"NASA-JPL","active":true,"usgs":false}],"preferred":false,"id":733144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nguyen, Dung","contributorId":204125,"corporation":false,"usgs":false,"family":"Nguyen","given":"Dung","email":"","affiliations":[],"preferred":false,"id":733145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmquist, James R.","contributorId":173462,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simard, Marc","contributorId":19036,"corporation":false,"usgs":true,"family":"Simard","given":"Marc","email":"","affiliations":[],"preferred":false,"id":733147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":733148,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196513,"text":"70196513 - 2018 - Advancing dendrochronological studies of fire in the United States","interactions":[],"lastModifiedDate":"2018-04-12T16:12:44","indexId":"70196513","displayToPublicDate":"2018-04-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Advancing dendrochronological studies of fire in the United States","docAbstract":"Dendroecology is the science that dates tree rings to their exact calendar year of formation to study processes that influence forest ecology (e.g., Speer 2010, Amoroso et al., 2017). Reconstruction of past fire regimes is a core application of dendroecology, linking fire history to population dynamics and climate effects on tree growth and survivorship. Since the early 20th century when dendrochronologists recognized that tree rings retained fire scars (e.g., Figure 1), and hence a record of past fires, they have conducted studies worldwide to reconstruct the historical range and variability of fire regimes (e.g., frequency, severity, seasonality, spatial extent), the influence of fire regimes on forest structure and ecosystem dynamics, and the top-down (e.g., climate) and bottom-up (e.g., fuels, topography) drivers of fire that operate at a range of temporal and spatial scales. As in other scientific fields, continued application of dendrochronological techniques to study fires has shaped new trajectories for the science. Here we highlight some important current directions in the United States (US) and call on our international colleagues to continue the conversation with perspectives from other countries.
","language":"English","publisher":"MDPI","doi":"10.3390/fire1010011","usgsCitation":"Harley, G.L., Baisan, C.H., Brown, P.M., Falk, D.A., Flatley, W.T., Grissino-Mayer, H.D., Hessl, A., Heyerdahl, E.K., Kaye, M., Lafon, C.W., Margolis, E.Q., Maxwell, R.S., Naito, A.T., Platt, W.J., Rother, M.T., Saladyga, T., Sherriff, R.L., Stachowiak, L.A., Stambaugh, M.C., Sutherland, E.K., and Taylor, A.H., 2018, Advancing dendrochronological studies of fire in the United States: Fire, v. 1, no. 1, p. 1-6, https://doi.org/10.3390/fire1010011.","productDescription":"Article 11; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-094629","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468832,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire1010011","text":"Publisher Index Page"},{"id":353388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed6","contributors":{"authors":[{"text":"Harley, Grant L.","contributorId":204186,"corporation":false,"usgs":false,"family":"Harley","given":"Grant","email":"","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":733332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baisan, Christopher H.","contributorId":204187,"corporation":false,"usgs":false,"family":"Baisan","given":"Christopher","email":"","middleInitial":"H.","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":733333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Peter M.","contributorId":204188,"corporation":false,"usgs":false,"family":"Brown","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":36873,"text":"Rocky Mountain Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":733334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flatley, William T.","contributorId":204190,"corporation":false,"usgs":false,"family":"Flatley","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":733337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grissino-Mayer, Henri D.","contributorId":204189,"corporation":false,"usgs":false,"family":"Grissino-Mayer","given":"Henri","email":"","middleInitial":"D.","affiliations":[{"id":36217,"text":"Univ of Tennessee","active":true,"usgs":false}],"preferred":false,"id":733335,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hessl, Amy","contributorId":204191,"corporation":false,"usgs":false,"family":"Hessl","given":"Amy","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":733338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heyerdahl, Emily K.","contributorId":204192,"corporation":false,"usgs":false,"family":"Heyerdahl","given":"Emily","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":733339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kaye, Margot W.","contributorId":102031,"corporation":false,"usgs":false,"family":"Kaye","given":"Margot W.","affiliations":[],"preferred":false,"id":733340,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lafon, Charles W.","contributorId":204193,"corporation":false,"usgs":false,"family":"Lafon","given":"Charles","email":"","middleInitial":"W.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":733341,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733331,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maxwell, R. 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The observed mismatch supports previous suggestions that the famous “overthrust” between the Austroalpine allochthon and the Pennine zone, historically regarded as primarily an Eocene top‐north thrust fault, is in fact primarily an Oligocene‐Miocene normal fault that has a minimum of 60 km of displacement with top‐south or top‐southeast sense of shear. Two hallmarks of Alpine geology, deposition of the foredeep Molasse and emplacement of the Helvetic nappes, appear to be coeval, peripheral manifestations of crustal thickening via the interposition of the Pennine zone as a northward intruding wedge between the Austroalpine “lid” and the European cratonic margin, with the Helvetic system (European margin) acting as the “floor” of the wedge. We presume the Penninic wedge is driven by the buoyant rise of subducted crust no longer able to remain attached to the descending slab. If so, emplacement of the Pennine wedge could have occurred mainly after Adria was juxtaposed against cratonic Europe.
","language":"English","publisher":"AGU","doi":"10.1002/2017TC004619","usgsCitation":"Price, J.B., Wernicke, B.P., Cosca, M.A., and Farley, K.A., 2018, Thermochronometry across the Austroalpine-Pennine boundary, Central Alps, Switzerland: Orogen-perpendicular normal fault slip on a major ‘overthrust’ and its implications for orogenesis: Tectonics, v. 37, no. 3, p. 724-757, https://doi.org/10.1002/2017TC004619.","productDescription":"34 p.","startPage":"724","endPage":"757","ipdsId":"IP-093107","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468834,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017tc004619","text":"External Repository"},{"id":437950,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MK6C54","text":"USGS data release","linkHelpText":"Argon geochronology data from the Austroalpine-Pennine boundary, Central Alps, Switzerland"},{"id":353393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-07","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed4","contributors":{"authors":[{"text":"Price, Jason B.","contributorId":204207,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wernicke, Brian P.","contributorId":204208,"corporation":false,"usgs":false,"family":"Wernicke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farley, Kenneth A.","contributorId":204209,"corporation":false,"usgs":false,"family":"Farley","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197876,"text":"70197876 - 2018 - Phenological mismatch in coastal western Alaska may increase summer season greenhouse gas uptake","interactions":[],"lastModifiedDate":"2018-06-22T15:51:54","indexId":"70197876","displayToPublicDate":"2018-04-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Phenological mismatch in coastal western Alaska may increase summer season greenhouse gas uptake","docAbstract":"High latitude ecosystems are prone to phenological mismatches due to climate change- driven advances in the growing season and changing arrival times of migratory herbivores. These changes have the potential to alter biogeochemical cycling and contribute to feedbacks on climate change by altering greenhouse gas (GHG) emissions of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) through large regions of the Arctic. Yet the effects of phenological mismatches on gas fluxes are currently unexplored. We used a three-year field experiment that altered the start of the growing season and timing of grazing to investigate how phenological mismatch affects GHG exchange. We found early grazing increased mean GHG emission to the atmosphere despite lower CH4 emissions due to grazing-induced changes in vegetation structure that increased uptake of CO2. In contrast, late grazing reduced GHG emissions because greater plant productivity led to an increase in CO2 uptake that overcame the increase in CH4 emission. Timing of grazing was an important control on both CO2 and CH4 emissions, and net GHG exchange was the result of opposing fluxes of CO2 and CH4. N2O played a negligible role in GHG flux. Advancing the growing season had a smaller effect on GHG emissions than changes to timing of grazing in this study. Our results suggest that a phenological mismatch that delays timing of grazing relative to the growing season, a change which is already developing along in western coastal Alaska, will reduce GHG emissions to the atmosphere through increased CO2 uptake despite greater CH4 emissions.
","language":"English","publisher":"IOP","doi":"10.1088/1748-9326/aab698","usgsCitation":"Kelsey, K.C., Leffler, A., Beard, K.H., Choi, R.T., Schmutz, J.A., and Welker, J.M., 2018, Phenological mismatch in coastal western Alaska may increase summer season greenhouse gas uptake: Environmental Research Letters, v. 13, p. 1-10, https://doi.org/10.1088/1748-9326/aab698.","productDescription":"Article 044032; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-087992","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aab698","text":"Publisher Index Page"},{"id":355318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b46e598e4b060350a15d1e6","contributors":{"authors":[{"text":"Kelsey, Katharine C.","contributorId":195397,"corporation":false,"usgs":false,"family":"Kelsey","given":"Katharine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":738866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leffler, A. Joshua","contributorId":205935,"corporation":false,"usgs":false,"family":"Leffler","given":"A. Joshua","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":738868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Karen H.","contributorId":205934,"corporation":false,"usgs":false,"family":"Beard","given":"Karen","email":"","middleInitial":"H.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":738867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Ryan T.","contributorId":205936,"corporation":false,"usgs":false,"family":"Choi","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":738869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":738865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welker, Jeffery M.","contributorId":43654,"corporation":false,"usgs":true,"family":"Welker","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":738870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196492,"text":"70196492 - 2018 - Experimental investigation of the role of rock fabric in gas generation and expulsion during thermal maturation: Anhydrous closed-system pyrolysis of a bitumen-rich Eagle Ford Shale","interactions":[],"lastModifiedDate":"2018-04-11T14:24:59","indexId":"70196492","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Experimental investigation of the role of rock fabric in gas generation and expulsion during thermal maturation: Anhydrous closed-system pyrolysis of a bitumen-rich Eagle Ford Shale","docAbstract":"Gold-tube pyrolysis experiments were conducted on miniature core plugs and powdered rock from a bitumen-rich sample of Eagle Ford Shale to investigate the role of rock fabric in gas generation and expulsion during thermal maturation. The samples were isothermally heated at 130, 300, 310, 333, 367, 400, and 425 °C for 72 h under a confining pressure of 68.0 MPa, corresponding to six levels of induced thermal maturity: pre-oil generation (130 °C/72 h), incipient oil/bitumen generation (300 and 310 °C/72 h), early oil generation (333 °C/72 h), peak oil generation (367 °C/72 h), early oil cracking (400 °C/72 h), and late oil cracking (425 °C/72 h). Experimental results show that gas retention coupled with compositional fractionation occurs in the core plug experiments and varies as a function of thermal maturity. During the incipient oil/bitumen generation stage, yields of methane through pentane (C1–C5) from core plugs are significantly lower than those from rock powder, and gases from core plugs are enriched in methane. However, the differences in C1–C5 gas yield and composition decrease throughout the oil generation stage, and by the oil cracking stage no obvious compositional difference in C1–C5 gases exists. The decrease in the effect of rock fabric on gas yield and composition with increasing maturity is the result of an increase in gas expulsion efficiency. Pyrolysis of rock powder yields 4–16 times more CO2 compared to miniature core plugs, with δ13CCO2 values ranging from −2.9‰ to −0.6‰, likely due to carbonate decomposition accelerated by reactions with organic acids. Furthermore, lower yields of gaseous alkenes and H2 from core plug experiments sugge
","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2018.01.012","usgsCitation":"Shao, D., Ellis, G.S., Li, Y., and Zhang, T., 2018, Experimental investigation of the role of rock fabric in gas generation and expulsion during thermal maturation: Anhydrous closed-system pyrolysis of a bitumen-rich Eagle Ford Shale: Organic Geochemistry, v. 119, p. 22-35, https://doi.org/10.1016/j.orggeochem.2018.01.012.","productDescription":"14 p.","startPage":"22","endPage":"35","ipdsId":"IP-086758","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e4e4b0da30c1bfbede","contributors":{"authors":[{"text":"Shao, Deyong","contributorId":178817,"corporation":false,"usgs":false,"family":"Shao","given":"Deyong","email":"","affiliations":[],"preferred":false,"id":733217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yanfang","contributorId":204150,"corporation":false,"usgs":false,"family":"Li","given":"Yanfang","email":"","affiliations":[{"id":28117,"text":"Lanzhou University, Lanzhou, China","active":true,"usgs":false}],"preferred":false,"id":733218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Tongwei","contributorId":145909,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","email":"","affiliations":[{"id":16288,"text":"Bureau of Economic Geology, University of Texas, Austin, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":733219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196488,"text":"70196488 - 2018 - Evolution of sulfur speciation in bitumen through hydrous pyrolysis induced thermal maturation of Jordanian Ghareb Formation oil shale","interactions":[],"lastModifiedDate":"2018-04-11T14:35:44","indexId":"70196488","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of sulfur speciation in bitumen through hydrous pyrolysis induced thermal maturation of Jordanian Ghareb Formation oil shale","docAbstract":"Previous studies on the distribution of bulk sulfur species in bitumen before and after artificial thermal maturation using various pyrolysis methods have indicated that the quantities of reactive (sulfide, sulfoxide) and thermally stable (thiophene) sulfur moieties change following consistent trends under increasing thermal stress. These trends show that sulfur distributions change during maturation in ways that are similar to those of carbon, most clearly illustrated by the increase in aromatic sulfur (thiophenic) as a function of thermal maturity. In this study, we have examined the sulfur moiety distributions of retained bitumen from a set of pre- and post-pyrolysis rock samples in an organic sulfur-rich, calcareous oil shale from the Upper Cretaceous Ghareb Formation. Samples collected from outcrop in Jordan were subjected to hydrous pyrolysis (HP). Sulfur speciation in extracted bitumens was examined using K-edge X-ray absorption near-edge structure (XANES) spectroscopy. The most substantial changes in sulfur distribution occurred at temperatures up to the point of maximum bitumen generation (∼300 °C) as determined from comparison of the total organic carbon content for samples before and after extraction. Organic sulfide in bitumen decreased with increasing temperature at relatively low thermal stress (200–300 °C) and was not detected in extracts from rocks subjected to HP at temperatures above around 300 °C. Sulfoxide content increased between 200 and 280 °C, but decreased at higher temperatures. The concentration of thiophenic sulfur increased up to 300 °C, and remained essentially stable under increasing thermal stress (mg-S/g-bitumen basis). The ratio of stable-to-reactive+stable sulfur moieties ([thiophene/(sulfide+sulfoxide+thiophene)], T/SST) followed a sigmoidal trend with HP temperature, increasing slightly up to 240 °C, followed by a substantial increase between 240 and 320 °C, and approaching a constant value (∼0.95) at temperatures above 320 °C. This sulfur moiety ratio appears to provide complementary thermal maturity information to geochemical parameters derived from other analyses of extracted source rocks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2018.01.107","usgsCitation":"Birdwell, J.E., Lewan, M., Bake, K.D., Bolin, T.B., Craddock, P.R., Forsythe, J.C., and Pomerantz, A.E., 2018, Evolution of sulfur speciation in bitumen through hydrous pyrolysis induced thermal maturation of Jordanian Ghareb Formation oil shale: Fuel, v. 219, p. 214-222, https://doi.org/10.1016/j.fuel.2018.01.107.","productDescription":"9 p.","startPage":"214","endPage":"222","ipdsId":"IP-091198","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1548620","text":"Publisher Index Page"},{"id":353331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e4e4b0da30c1bfbee0","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":733194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":733195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bake, Kyle D.","contributorId":173941,"corporation":false,"usgs":false,"family":"Bake","given":"Kyle","email":"","middleInitial":"D.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":733196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolin, Trudy B.","contributorId":173937,"corporation":false,"usgs":false,"family":"Bolin","given":"Trudy","email":"","middleInitial":"B.","affiliations":[{"id":27320,"text":"Argonne National Laboratory and Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craddock, Paul R.","contributorId":204141,"corporation":false,"usgs":false,"family":"Craddock","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":733198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forsythe, Julia C.","contributorId":204142,"corporation":false,"usgs":false,"family":"Forsythe","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":733199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pomerantz, Andrew E.","contributorId":173943,"corporation":false,"usgs":false,"family":"Pomerantz","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":733200,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196493,"text":"70196493 - 2018 - Modeled de facto reuse and contaminants of emerging concern in drinking water source waters","interactions":[],"lastModifiedDate":"2018-04-11T14:04:10","indexId":"70196493","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2136,"text":"Journal - American Water Works Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeled de facto reuse and contaminants of emerging concern in drinking water source waters","docAbstract":"De facto reuse is the percentage of drinking water treatment plant (DWTP) intake potentially composed of effluent discharged from upstream wastewater treatment plants (WWTPs). Results from grab samples and a De Facto Reuse in our Nation's Consumable Supply (DRINCS) geospatial watershed model were used to quantify contaminants of emerging concern (CECs) concentrations at DWTP intakes to qualitatively compare exposure risks obtained by the two approaches. Between nine and 71 CECs were detected in grab samples. The number of upstream WWTP discharges ranged from 0 to >1,000; comparative de facto reuse results from DRINCS ranged from <0.1 to 13% during average flow and >80% during lower streamflows. Correlation between chemicals detected and DRINCS modeling results were observed, particularly DWTPs withdrawing from midsize water bodies. This comparison advances the utility of DRINCS to identify locations of DWTPs for future CEC sampling and treatment technology testing.
","language":"English","publisher":"Wiley","doi":"10.1002/awwa.1052","usgsCitation":"Nguyen, T., Westerhoff, P., Furlong, E., Kolpin, D., Batt, A.L., Mash, H.E., Schenck, K.M., Boone, J.S., Rice, J., and Glassmeyer, S.T., 2018, Modeled de facto reuse and contaminants of emerging concern in drinking water source waters: Journal - American Water Works Association, v. 110, no. 4, p. 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Humans play a central role in macrosystem dynamics, which complicates ecological theories that do not explicitly include human interactions. These dynamics also impact ecological services and related markets, which challenges economic theory. Here, we use two forest macroscale management initiatives to develop a theoretical understanding of how management interacts with ecological functions and services at these scales and how the multiple large-scale management goals work either in consort or conflict with other forest functions and services. We suggest that calling upon theories developed for organismal ecology, ecosystem ecology, and ecological economics adds to our understanding of social-ecological macrosystems. To initiate progress, we propose future research questions to add rigor to macrosystem-scale studies: (1) What are the ecosystem functions that operate at macroscales, their necessary structural components, and how do we observe them? (2) How do systems at one scale respond if altered at another scale? (3) How do we both effectively measure these components and interactions, and communicate that information in a meaningful manner for policy and management across different scales?
","language":"English","publisher":"MDPI","doi":"10.3390/f9040200","usgsCitation":"Kleindl, W.J., Stoy, P.C., Binford, M.W., Desai, A.R., Dietze, M., Schultz, C.A., Starr, G., Staudhammer, C., and Wood, D.J., 2018, Toward a social-ecological theory of forest macrosystems for improved ecosystem management: Forests, v. 9, no. 4, p. 1-23, https://doi.org/10.3390/f9040200.","productDescription":"Article 200; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-088625","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f9040200","text":"Publisher Index Page"},{"id":353329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-11","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbeda","contributors":{"authors":[{"text":"Kleindl, William J.","contributorId":204156,"corporation":false,"usgs":false,"family":"Kleindl","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":733231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoy, Paul C.","contributorId":204157,"corporation":false,"usgs":false,"family":"Stoy","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":733232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binford, Michael W.","contributorId":204161,"corporation":false,"usgs":false,"family":"Binford","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":733238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Desai, Ankur R. 0000-0002-5226-6041","orcid":"https://orcid.org/0000-0002-5226-6041","contributorId":20622,"corporation":false,"usgs":false,"family":"Desai","given":"Ankur","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":733233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietze, Mike","contributorId":190102,"corporation":false,"usgs":false,"family":"Dietze","given":"Mike","email":"","affiliations":[],"preferred":false,"id":733234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Courtney A.","contributorId":204158,"corporation":false,"usgs":false,"family":"Schultz","given":"Courtney","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Starr, Gregory","contributorId":100735,"corporation":false,"usgs":true,"family":"Starr","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":733236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Staudhammer, Christina","contributorId":204160,"corporation":false,"usgs":false,"family":"Staudhammer","given":"Christina","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":733237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, David J. A. 0000-0003-4315-5160 dwood@usgs.gov","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":177588,"corporation":false,"usgs":true,"family":"Wood","given":"David","email":"dwood@usgs.gov","middleInitial":"J. A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":733230,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}