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":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":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.
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":70196497,"text":"70196497 - 2018 - Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]","interactions":[],"lastModifiedDate":"2018-04-13T12:40:12","indexId":"70196497","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-374","title":"Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]","docAbstract":"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":70196498,"text":"70196498 - 2018 - Effects of climate change on forest vegetation in the Northern Rockies Region","interactions":[],"lastModifiedDate":"2020-08-20T16:39:00.804433","indexId":"70196498","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-374","chapter":"6","title":"Effects of climate change on forest vegetation in the Northern Rockies Region","docAbstract":"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":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","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":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":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":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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","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":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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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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":733148,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","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":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":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","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":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","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":70196476,"text":"70196476 - 2018 - In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary","interactions":[],"lastModifiedDate":"2018-04-11T14:41:38","indexId":"70196476","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary","docAbstract":"Cassiterite (SnO2), a main ore mineral in tin deposits, is suitable for U–Pb isotopic dating because of its relatively high U/Pb ratios and typically low common Pb. We report a LA-ICPMS analytical procedure for U–Pb dating of this mineral with no need for an independently dated matrix-matched cassiterite standard. LA-ICPMS U-Th-Pb data were acquired while using NIST 612 glass as a primary non-matrix-matched standard. Raw data are reduced using a combination of Iolite™ and other off-line data reduction methods. Cassiterite is extremely difficult to digest, so traditional approaches in LA-ICPMS U-Pb geochronology that utilize well-characterized matrix-matched reference materials (e.g., age values determined by ID-TIMS) cannot be easily implemented. We propose a new approach for in situ LA-ICPMS dating of cassiterite, which benefits from the unique chemistry of cassiterite with extremely low Th concentrations (Th/U ratio of 10−4 or lower) in some cassiterite samples. Accordingly, it is assumed that 208Pb measured in cassiterite is mostly of non-radiogenic origin—it was initially incorporated in cassiterite during mineral formation, and can be used as a proxy for common Pb. Using 208Pb as a common Pb proxy instead of 204Pb is preferred as 204Pb is much less abundant and is also compromised by 204Hg interference during the LA-ICPMS analyses.
Our procedure relies on 208Pb/206Pb vs 207Pb/206Pb (Pb-Pb) and Tera-Wasserburg 207Pb/206Pb vs 238U/206Pb (U-Pb) isochron dates that are calculated for a ~1.54 Ga low-Th cassiterite reference material with varying amounts of common Pb that we assume remained a closed U-Pb system. The difference between the NIST 612 glass normalized biased U-Pb date and the Pb-Pb age of the reference material is used to calculate a correction factor (F) for instrumental U-Pb fractionation. The correction factor (F) is then applied to measured U/Pb ratios and Tera-Wasserburg isochron dates are obtained for the unknown cassiterite analyzed in the same analytical session. This allows for U-Pb dating of cassiterite of any age with no need for an independently dated matrix-matched reference material, nor assumptions about the isotopic composition of common Pb.
Results for cassiterite from tin deposits in Bolivia, Brazil, China, Russia, Saudi Arabia, South Africa, Spain, and the United Kingdom, with ages ranging from ~20 Ma to ~2060 Ma, demonstrate the applicability of this approach across a broad range of geologic time. These ages are in good agreement with published geochronology of the host rocks associated with the tin deposits and with previously published U-Pb ages of some cassiterites from the same deposits. Thus, our in situ LA-ICPMS methodology verifies the use of cassiterite as a reliable U-Pb mineral-geochronometer with the advantages of fast and relatively low cost in situ analyses with moderate spatial resolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2018.03.008","usgsCitation":"Neymark, L., Holm-Denoma, C.S., and Moscati, R.J., 2018, In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary: Chemical Geology, v. 483, p. 410-425, https://doi.org/10.1016/j.chemgeo.2018.03.008.","productDescription":"16 p.","startPage":"410","endPage":"425","ipdsId":"IP-092649","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":460955,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2018.03.008","text":"Publisher Index Page"},{"id":437952,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP021W","text":"USGS data release","linkHelpText":"U-Pb data for: In situ LA-ICPMS U-Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to Tertiary"},{"id":353333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"483","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e4e4b0da30c1bfbee4","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":733136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":733138,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196458,"text":"ofr20181052 - 2018 - Faunal and vegetation monitoring in response to harbor dredging in the Port of Miami","interactions":[],"lastModifiedDate":"2018-04-12T09:54:46","indexId":"ofr20181052","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1052","title":"Faunal and vegetation monitoring in response to harbor dredging in the Port of Miami","docAbstract":"Seagrasses are highly productive ecosystems. A before-after-control-impact (BACI) design was used to examine effects of dredging on seagrasses and the animals that inhabit them. The control site North Biscayne Bay and the affected site Port of Miami had seagrass densities decrease during both the before, Fish and Invertebrate Assessment Network 2006-2011, and after, Faunal Monitoring in Response to Harbor Dredging 2014-2016, studies. Turbidity levels increased at North Biscayne Bay and Port of Miami basins during the Faunal Monitoring in Response to Harbor Dredging study, especially in 2016. Animal populations decreased significantly in North Biscayne Bay and Port of Miami in the Faunal Monitoring in Response to Harbor Dredging study compared to the Fish and Invertebrate Assessment Network study. Predictive modeling shows that numbers of animal populations will likely continue to decrease if the negative trends in seagrass densities continue unabated. There could be effects on several fisheries vital to the south Florida economy. Additional research could determine if animal populations and seagrass densities have rebounded or continued to decrease.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181052","usgsCitation":"Daniels, A., Stevenson, R., Smith, E., and Robblee, M., 2018, Faunal and vegetation monitoring in response to harbor dredging in the Port of Miami: U.S. Geological Survey Open-File Report 2018–1052, 38 p., https://doi.org/10.3133/ofr20181052.","productDescription":"Report: viii, 38 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084431","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":353291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1052/ofr20181052.pdf","text":"Report","size":"1.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1052"},{"id":353292,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JH3KD9","text":"USGS data release","description":"USGS Data Release ","linkHelpText":"Faunal and vegetation monitoring in response to harbor dredging in Port of Miami"},{"id":353290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1052/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"North Biscayne Bay, Port of Miami","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.20774841308594,\n 25.723209559418265\n ],\n [\n -80.11505126953125,\n 25.723209559418265\n ],\n [\n -80.11505126953125,\n 25.9117325831107\n ],\n [\n -80.20774841308594,\n 25.9117325831107\n ],\n [\n -80.20774841308594,\n 25.723209559418265\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71 Street
Gainesville, FL 32653
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. E2-E18, https://doi.org/10.1002/awwa.1052.","productDescription":"17 p.","startPage":"E2","endPage":"E18","ipdsId":"IP-091952","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":468835,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10054860","text":"External Repository"},{"id":353326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-09","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbedc","contributors":{"authors":[{"text":"Nguyen, Thuy","contributorId":204152,"corporation":false,"usgs":false,"family":"Nguyen","given":"Thuy","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":733221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westerhoff, Paul","contributorId":204153,"corporation":false,"usgs":false,"family":"Westerhoff","given":"Paul","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":733222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Furlong, Edward T. 0000-0002-7305-4603","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":204151,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward T.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":733220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batt, Angela L.","contributorId":184134,"corporation":false,"usgs":false,"family":"Batt","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mash, Heath E.","contributorId":184073,"corporation":false,"usgs":false,"family":"Mash","given":"Heath","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":733225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenck, Kathleen M.","contributorId":184136,"corporation":false,"usgs":false,"family":"Schenck","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":733226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boone, J. 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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}]}} ,{"id":70202469,"text":"70202469 - 2018 - Drivers of chaparral plant diversity","interactions":[],"lastModifiedDate":"2019-03-04T16:38:40","indexId":"70202469","displayToPublicDate":"2018-04-10T16:38:31","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Drivers of chaparral plant diversity","docAbstract":"Chaparral diversity has marked spatial and temporal variation. Evolutionary diversity at the genetic, specific, and lineage level contribute to a very diverse flora. Ecological diversity is evident in life histories that comprise a range of physiological and morphological strategies for dealing with drought, and demographic patterns centered around different seedling recruitment strategies. Community or alpha diversity varies markedly through time. Mature chaparral ranges from monotypic stands of chamise (Adenostoma fasciculatum) to mixed chaparral often with up to a dozen shrub species. The understory contributes relatively little other than a few diminutive annuals and occasional herbaceous perennial resprouts. However, after fire, diversity increases dramatically and is often dominated by annuals that arise from a dormant seedbank with significant contribution of geophytes resprouting and flowering from dormant bulbs and corms. This flora has very diverse life histories, with some present only a year or two and then existing as a dormant seedbank or bulbs until the next fire. Others may persist much longer, often in gaps in the shrub canopy. Postfire dominance-diversity patterns fit a geometric model as most communities are dominated by a few species and the bulk of the flora comprise subordinates that occupy specific microhabitats. Postfire community assembly is a result of competitive interactions and environmental filtering effects. Beta diversity plays a role in community assembly for as heterogeneity of communities in the landscape increases, the potential species pool for a community increases. Gamma diversity is particularly high because species turnover across latitudinal and elevational gradients is high. The role of diversity in conferring community resilience is complex and a function of the life history of shrub dominants and the historical patterns of fires. Under some circumstances low diversity may be more resilient than high diversity, for example under high fire frequency monotypic stands of Adenostoma fasciculatum may resist change better than diverse stands that include obligate seeding shrubs sensitive to short interval fires. Postfire annuals also are sensitive to short interval fires as these disturbances enhance the invasion by more competitive non-native grasses. Expected increases in anthropogenic ignitions due to population growth are the biggest threat to biodiversity in chaparral.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Valuing chaparral","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68303-4_2","usgsCitation":"Keeley, J.E., 2018, Drivers of chaparral plant diversity, chap. of Valuing chaparral, p. 29-51, https://doi.org/10.1007/978-3-319-68303-4_2.","productDescription":"24 p.","startPage":"29","endPage":"51","ipdsId":"IP-077516","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Underwood, Emma C.","contributorId":204451,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma C.","affiliations":[],"preferred":false,"id":758757,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":758758,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Molinari, Nicole A.","contributorId":204452,"corporation":false,"usgs":false,"family":"Molinari","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":758759,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":758760,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":758712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195822,"text":"ofr20181018 - 2018 - Quality-control design for surface-water sampling in the National Water-Quality Network","interactions":[],"lastModifiedDate":"2018-04-10T11:22:25","indexId":"ofr20181018","displayToPublicDate":"2018-04-10T11:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1018","title":"Quality-control design for surface-water sampling in the National Water-Quality Network","docAbstract":"The data-quality objectives for samples collected at surface-water sites in the National Water-Quality Network include estimating the extent to which contamination, matrix effects, and measurement variability affect interpretation of environmental conditions. Quality-control samples provide insight into how well the samples collected at surface-water sites represent the true environmental conditions. Quality-control samples used in this program include field blanks, replicates, and field matrix spikes. This report describes the design for collection of these quality-control samples and the data management needed to properly identify these samples in the U.S. Geological Survey’s national database.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181018","collaboration":"National Water-Quality Program","usgsCitation":"Riskin, M.L., Reutter, D.C., Martin, J.D., and Mueller, D.K., 2018, Quality-control design for surface-water sampling in the National Water-Quality Network: U.S. Geological Survey Open-File Report 2018–1018, 15 p., https://doi.org/10.3133/ofr20181018.","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088810","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":352918,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1018/ofr20181018.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1018"},{"id":352917,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1018/coverthb.jpg"}],"contact":"Program Coordinator, National Water Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey studies the effects of weather, climate, and man-made influences on groundwater levels, streamflow, and reservoir and lake levels, as well as on the ecological health of rivers, lakes, reservoirs, watersheds, estuaries, aquifers, soils, beaches, and wildlife. From these studies, the USGS produces high-quality, timely, and unbiased scientific research and data that are widely accessible and relevant to all levels of government, Tribal Nations, academic institutions, nongovernmental organizations, the private sector, and the general public. In New York, the U.S. Geological Survey works with other Federal agencies, State and municipal government, Tribal Nations, and the private sector to develop products that inform decision makers, legislators, and the general public.
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York\",\"nation\":\"USA \"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Sediment erosion and deposition in two sets of paired (treated and untreated) upland drainages in the Torreon Wash watershed, upper Rio Puerco Basin, New Mexico, were examined over a 3 1/2-year period from spring 2009 through fall 2012. The objective was to evaluate the effectiveness of shallow, loose-stone check dams, or “one-rock dams,” as a hillslope gully erosion stabilization and mitigation method, and its potential for retaining upland eroded soils and decreasing delivery of sediment to lower ephemeral stream channels. Two high-resolution topographic surveys, completed at the beginning and end of the study period, were used to assess the effects of the mitigation measures at paired-drainage sites in both Penistaja Arroyo and Papers Wash watersheds, and at six main-stem-channel cross-section clusters along Penistaja Arroyo and Torreon Wash in the Torreon Wash watershed.
For both drainage pairs, the treated drainage had greater sediment aggradation near the channel than the untreated drainage. Erosion was the dominant geomorphic process in the untreated Penistaja Arroyo drainage, whereas aggradation was the dominant process in the other three drainages. For the Penistaja Arroyo paired drainages, the treated site showed a 51-percent increase in area aggraded and 67-percent increase in volume aggraded per area analyzed over the untreated site. Both Papers Wash drainages showed net aggradation, but with similar treatment effect, with the treated site showing a 29-percent increase in area aggraded and 60-percent increase in volume aggraded per area analyzed over the untreated site. In the untreated Penistaja Arroyo drainage, the calculated minimum erosion rate was 0.0055 inches per year (in/yr; 0.14 millimeters per year [mm/yr]), whereas the calculated aggradation rates for the three drainages for which aggradation was the dominant geomorphic process were 0.0063 in/yr (0.16 mm/yr) for the Penistaja Arroyo treated drainage, 0.012 in/yr (0.31 mm/yr) for the Papers Wash untreated drainage, and 0.988 in/yr (2.51 mm/yr) for the Papers Wash treated drainage.
Changes in the channel cross section along the main-stem Penistaja Arroyo and Torreon Wash were also examined. Channel-bank slumping and erosion of previously deposited bed material were apparent sources for sediment suspended in ephemeral streamflow. Cross-sectional channel surveys indicated examples of both erosion and deposition along each channel over the study period. Because the drainage area of the treated drainages is small compared to that of the Torreon Wash watershed, the upland mitigation measures would not be expected to measurably affect short-term concentrations of suspended sediment in main-stem channels.
One-rock-dam mitigation structures in the upland drainages appear to have resulted in a decrease in sediment delivery to the main-stem channel. One-rock-dam mitigation structures may affect streamflow through their influence on runoff volume (via infiltration) and runoff rate (via detention), both of which may vary with time after structure installation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185026","collaboration":"Prepared in cooperation with the Rio Puerco Alliance","usgsCitation":"Matherne, A.M., Tillery, A.C., and Douglas-Mankin, K.R., 2018, Effects of hillslope gully stabilization on erosion and sediment production in the Torreon Wash watershed, New Mexico, 2009–12: U.S. Geological Survey Scientific Investigations Report 2018–5026, 35 p., https://doi.org/10.3133/sir20185026.","productDescription":"Report: viii, 35 p.; Data Release","numberOfPages":"48","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-086274","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":353246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5026/coverthb2.jpg"},{"id":353247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5026/sir20185026.pdf","text":"Report ","size":"3.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5026"},{"id":353248,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q52NK3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Effects of Hillslope Gully Stabilization on Erosion and Sediment Production in the Torreon Wash Watershed, New Mexico, 2009–2012 - Associated Data"}],"country":"United States","state":"New Mexico","otherGeospatial":"Torreon Wash Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.5,\n 35.6\n ],\n [\n -107,\n 35.6\n ],\n [\n -107,\n 36.1\n ],\n [\n -107.5,\n 36.1\n ],\n [\n -107.5,\n 35.6\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd NE
Albuquerque, NM 87113
Ethnographic interviews and historical literature reviews provide evidence that for many tribes of California, chaparral plant communities were a rich source of food, medicines, and technologies and that they supplemented natural fires with deliberate burning of chaparral to maximize its ability to produce useful products. Many of the most important chaparral plant species used in the food and material culture have strong adaptations to fire. Particularly useful were many annual and perennial herbs, which proliferate after fire from seed and bulb banks, shrub resprouts that made superb cordage and basketry material, as well as animals that were more readily caught in postfire environments. The reasons for burning in chaparral are grouped into seven ecological categories, each relying on a known response to fire of the chaparral community. The authors posit that tribes employed intentional burning to maintain chaparral in different ages and size classes to meet diverse food and material needs, tracking the change in plant and animal abundance and diversity, and shifts in shrub architecture and habitat structure during the recovery of the chaparral community. Areas were burned in ways designed to create a mosaic of open grassland and recently burned, young and mature stands of chaparral with different combinations of species and densities. This management conferred on chaparral plant communities a degree of spatial, structural, successional, and biotic diversity that exceeded what would have been the case in the absence of human intervention. These impacts are still evident on contemporary landscapes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Valuing chaparral: Ecological, socio-economic, and management perspectives","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68303-4_4","usgsCitation":"Anderson, M.K., and Keeley, J.E., 2018, Native peoples’ relationship to the California chaparral, chap. of Valuing chaparral: Ecological, socio-economic, and management perspectives, p. 79-121, https://doi.org/10.1007/978-3-319-68303-4_4.","productDescription":"43 p.","startPage":"79","endPage":"121","ipdsId":"IP-082640","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":353690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6e5e4b0da30c1bfbeec","contributors":{"editors":[{"text":"Underwood, Emma C.","contributorId":204451,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma C.","affiliations":[],"preferred":false,"id":733992,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":733993,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Molinari, Nicole A.","contributorId":204452,"corporation":false,"usgs":false,"family":"Molinari","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733994,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733995,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Anderson, M. Kat","contributorId":204449,"corporation":false,"usgs":false,"family":"Anderson","given":"M.","email":"","middleInitial":"Kat","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":733972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733971,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}