Responses of benthic macroinvertebrates along gradients of urban intensity were investigated in nine metropolitan areas across the United States. Invertebrate assemblages in metropolitan areas where forests or shrublands were being converted to urban land were strongly related to urban intensity. In metropolitan areas where agriculture and grazing lands were being converted to urban land, invertebrate assemblages showed much weaker or nonsignificant relations with urban intensity because sites with low urban intensity were already degraded by agriculture. Ordination scores, the number of EPT taxa, and the mean pollution‐tolerance value of organisms at a site were the best indicators of changes in assemblage condition. Diversity indices, functional groups, behavior, and dominance metrics were not good indicators of urbanization. Richness metrics were better indicators of urban effects than were abundance metrics, and qualitative samples collected from multiple habitats gave similar results to those of single habitat quantitative samples (riffles or woody snags) in all metropolitan areas. Changes in urban intensity were strongly correlated with a set of landscape variables that was consistent across all metropolitan areas. In contrast, the instream environmental variables that were strongly correlated with urbanization and invertebrate responses varied among metropolitan areas. The natural environmental setting determined the biological, chemical, and physical instream conditions upon which urbanization acts and dictated the differences in responses to urbanization among metropolitan areas. Threshold analysis showed little evidence for an initial period of resistance to urbanization. Instead, assemblages were degraded at very low levels of urbanization, and response rates were either similar across the gradient or higher at low levels of urbanization. Levels of impervious cover that have been suggested as protective of streams (5–10%) were associated with significant assemblage degradation and were not protective.
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Center","active":true,"usgs":true}],"preferred":true,"id":745600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":184174,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","email":"jasonmay@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236328,"text":"70236328 - 2010 - New southeastern Nearctic Rhynchelmis (Rhynchelmoides) species and the description of Pararhynchelmis n. gen. (Annelida: Clitellata: Lumbriculidae)","interactions":[],"lastModifiedDate":"2022-09-02T13:37:21.81991","indexId":"70236328","displayToPublicDate":"2010-07-01T14:41:47","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New southeastern Nearctic Rhynchelmis (Rhynchelmoides) species and the description of Pararhynchelmis n. gen. (Annelida: Clitellata: Lumbriculidae)","title":"New southeastern Nearctic Rhynchelmis (Rhynchelmoides) species and the description of Pararhynchelmis n. gen. (Annelida: Clitellata: Lumbriculidae)","docAbstract":"The first verified records of Rhynchelmis from the southeastern Nearctic represent two new species. Both belong to R. (Rhynchelmoides) (Hrabě) n. comb., which is defined here. Rhynchelmis bolinensis n. sp. resembles other R. (Rhynchelmoides) species with elongate spermathecae, but differs in details of the reproductive structures. Rhynchelmis croatanensis n. sp. is similar in many respects, but the gonads and male and female pores are shifted anteriad by one segment, a character previously unknown within the genus. Pararhynchelmis murdocki n. gen., n. sp. has the spermathecal pores in VIII and IX and male pores in X, and the spermathecae connect to the gut. These characters associate the new species with Rhynchelmis, but the combination of differences in morphology or arrangement of atria, spermathecae, blood vessels and nephridia, and the absence of a proboscis, suggest that it be placed in a related genus. Rhynchelmis bolinensis was collected at several sites in North Carolina, but the other two species are known only from single localities.
A synthesis was carried out to examine Alaska’s boreal forest fire regime. During the 2000s, an average of 767 000 ha·year–1 burned, 50% higher than in any previous decade since the 1940s. Over the past 60 years, there was a decrease in the number of lightning-ignited fires, an increase in extreme lightning-ignited fire events, an increase in human-ignited fires, and a decrease in the number of extreme human-ignited fire events. The fraction of area burned from human-ignited fires fell from 26% for the 1950s and 1960s to 5% for the 1990s and 2000s, a result from the change in fire policy that gave the highest suppression priorities to fire events that occurred near human settlements. The amount of area burned during late-season fires increased over the past two decades. Deeper burning of surface organic layers in black spruce (Picea mariana (Mill.) BSP) forests occurred during late-growing-season fires and on more well-drained sites. These trends all point to black spruce forests becoming increasingly vulnerable to the combined changes of key characteristics of Alaska’s fire regime, except on poorly drained sites, which are resistant to deep burning. The implications of these fire regime changes to the vulnerability and resilience of Alaska’s boreal forests and land and fire management are discussed.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Research Council of Canada","publisherLocation":"Ottawa","doi":"10.1139/X10-098","usgsCitation":"Kasischke, E.S., Verbyla, D.L., Rupp, T., McGuire, A.D., Murphy, K.A., Jandt, R., Barnes, J.L., Hoy, E., Duffy, P.A., Calef, M., and Turetsky, M.R., 2010, Alaska’s changing fire regime - Implications for the vulnerability of its boreal forests: Canadian Journal of Forest Research, v. 40, no. 7, p. 1313-1324, https://doi.org/10.1139/X10-098.","productDescription":"12 p.","startPage":"1313","endPage":"1324","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019192","costCenters":[{"id":199,"text":"Coop Res Unit 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Recent warming is associated with reduced growth of dominant tree species, plant disease and insect outbreaks, warming and thawing of permafrost, drying of lakes, increased wildfire extent, increased postfire recruitment of deciduous trees, and reduced safety of hunters traveling on river ice. These changes have modified key structural features, feedbacks, and interactions in the boreal forest, including reduced effects of upland permafrost on regional hydrology, expansion of boreal forest into tundra, and amplification of climate warming because of reduced albedo (shorter winter season) and carbon release from wildfires. Other temperature-sensitive processes for which no trends have been detected include composition of plant and microbial communities, long-term landscape-scale change in carbon stocks, stream discharge, mammalian population dynamics, and river access and subsistence opportunities for rural indigenous communities. Projections of continued warming suggest that Alaska’s boreal forest will undergo significant functional and structural changes within the next few decades that are unprecedented in the last 6000 years. The impact of these social–ecological changes will depend in part on the extent of landscape reorganization between uplands and lowlands and on policies regulating subsistence opportunities for rural communities.
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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruess, Roger W.","contributorId":45483,"corporation":false,"usgs":false,"family":"Ruess","given":"Roger","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":621909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollingsworth, Teresa N.","contributorId":19016,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"Teresa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":621910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mack, M.C.","contributorId":87238,"corporation":false,"usgs":true,"family":"Mack","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":621911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnstone, J.F.","contributorId":9560,"corporation":false,"usgs":true,"family":"Johnstone","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":621912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":621913,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":621914,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jack B.","contributorId":65788,"corporation":false,"usgs":true,"family":"Jones","given":"Jack","middleInitial":"B.","affiliations":[],"preferred":false,"id":621915,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":621916,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kielland, K.","contributorId":98932,"corporation":false,"usgs":true,"family":"Kielland","given":"K.","affiliations":[],"preferred":false,"id":621917,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kofinas, G.","contributorId":23752,"corporation":false,"usgs":true,"family":"Kofinas","given":"G.","affiliations":[],"preferred":false,"id":621918,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":621919,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yarie, J.","contributorId":92847,"corporation":false,"usgs":true,"family":"Yarie","given":"J.","affiliations":[],"preferred":false,"id":621920,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lloyd, A.H.","contributorId":91683,"corporation":false,"usgs":true,"family":"Lloyd","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":621921,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Taylor, D.L.","contributorId":50676,"corporation":false,"usgs":true,"family":"Taylor","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":621922,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70048508,"text":"70048508 - 2010 - Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2014-08-20T08:49:11","indexId":"70048508","displayToPublicDate":"2010-07-01T13:43:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","docAbstract":"Organic contaminants, such as pharmaceuticals and personal care products (PPCPs), pose a risk to water quality and the health of ecosystems. This study was designed to determine if a coastal community lacking point sources, such as waste water treatment plant effluent, could release PPCPs, herbicides, and plasticizers at detectable levels to their surface water and groundwater. Research was conducted in Liberty Bay, an embayment within Puget Sound, where 70% of the population (∼10,000) uses septic systems. Sampling included collection of groundwater and surface water with grab samples and the use of polar organic chemical integrative samplers (POCIS). We analyzed for a broad spectrum of 25 commonly used compounds, including PPCPs, herbicides, and a flame retardant. Twelve contaminants were detected at least once; only N,N-diethyl-meta-toluamide, caffeine, and mecoprop, a herbicide not attributed to septic systems, were detected in more than one grab sample. The use of POCIS was essential because contaminants were present at very low levels (nanograms), which is common for PPCPs in general, but particularly so in such a small community. The use of POCIS allowed the detection of five compounds that were not present in grab samples. Data suggest that the community is contaminating local water with PPCPs; this effect is likely to increase as the population and product usage increase. The results presented here are a first step toward assessing the transport of herbicides and PPCPs into this coastal system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2009.0189","usgsCitation":"Dougherty, J.A., Swarzenski, P.W., Dinicola, R., and Reinhard, M., 2010, Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington: Journal of Environmental Quality, v. 39, no. 4, p. 1173-1180, https://doi.org/10.2134/jeq2009.0189.","productDescription":"8 p.","startPage":"1173","endPage":"1180","numberOfPages":"8","ipdsId":"IP-021878","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":488158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2009.0189","text":"Publisher Index Page"},{"id":278273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278272,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0189"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.66,47.68 ], [ -122.66,47.76 ], [ -122.56,47.76 ], [ -122.56,47.68 ], [ -122.66,47.68 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52625867e4b079a99629a10c","contributors":{"authors":[{"text":"Dougherty, Jennifer A.","contributorId":6114,"corporation":false,"usgs":true,"family":"Dougherty","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhard, Martin","contributorId":87060,"corporation":false,"usgs":true,"family":"Reinhard","given":"Martin","affiliations":[],"preferred":false,"id":484883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200010,"text":"70200010 - 2010 - Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","interactions":[],"lastModifiedDate":"2021-05-27T18:02:23.725934","indexId":"70200010","displayToPublicDate":"2010-07-01T12:46:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","docAbstract":"Facilities involved in the manufacture of pharmaceutical products are an under-investigated source of pharmaceuticals to the environment. Between 2004 and 2009, 35 to 38 effluent samples were collected from each of three wastewater treatment plants (WWTPs) in New York and analyzed for seven pharmaceuticals including opioids and muscle relaxants. Two WWTPs (NY2 and NY3) receive substantial flows (>20% of plant flow) from pharmaceutical formulation facilities (PFF) and one (NY1) receives no PFF flow. Samples of effluents from 23 WWTPs across the United States were analyzed once for these pharmaceuticals as part of a national survey. Maximum pharmaceutical effluent concentrations for the national survey and NY1 effluent samples were generally <1 microg/L. Four pharmaceuticals (methadone, oxycodone, butalbital, and metaxalone) in samples of NY3 effluent had median concentrations ranging from 3.4 to >400 microg/L. Maximum concentrations of oxycodone (1700 microg/L) and metaxalone (3800 microg/L) in samples from NY3 effluent exceeded 1000 microg/L. Three pharmaceuticals (butalbital, carisoprodol, and oxycodone) in samples of NY2 effluent had median concentrations ranging from 2 to 11 microg/L. These findings suggest that current manufacturing practices at these PFFs can result in pharmaceuticals concentrations from 10 to 1000 times higher than those typically found in WWTP effluents.
Antibiotic transport downstream from a wastewater treatment plant effluent discharge was evaluated along stream reaches on Mud Creek, Spring Creek, and Decatur Branch in northwestern Arkansas, USA. Water and streambed samples were collected during August and September 2006 and analyzed for multiple antibiotics representing five classes (beta-lactams, macrolides, quinolones, sulfonamides, and tetracyclines). Antibiotics within the classes macrolides, quinolones, and sulfonamides were detected in the water column at all three stream reaches. Several of these same antibiotics, as well as antibiotics from the class tetracycline, were measured in streambed material at quantities significantly greater than those observed in the water column. Pseudo-partitioning coefficients ranged from 4 to >8000 L kg−1. Most of the antibiotics studied were significantly retained in the reaches at Mud Creek and Spring Creek and traveled kilometer-scale distances (Snet, 3.3–20.2 km) with low uptake velocities (
Although arsenic is highly toxic to most organisms, certain prokaryotes are known to grow on and respire toxic metalloids of arsenic (i.e., arsenate and arsenite). Two enzymes are known to be required for this arsenic-based metabolism: (i) the arsenate respiratory reductase (ArrA) and (ii) arsenite oxidase (AoxB). Both catalytic enzymes contain molybdopterin cofactors and form distinct phylogenetic clades (ArrA and AoxB) within the dimethyl sulfoxide (DMSO) reductase family of enzymes. Here we report on the genetic identification of a “new” type of arsenite oxidase that fills a phylogenetic gap between the ArrA and AoxB clades of arsenic metabolic enzymes. This “new” arsenite oxidase is referred to as ArxA and was identified in the genome sequence of the Mono Lake isolate Alkalilimnicola ehrlichii MLHE-1, a chemolithoautotroph that can couple arsenite oxidation to nitrate reduction. A genetic system was developed for MLHE-1 and used to show that arxA (gene locus ID mlg_0216) was required for chemoautotrophic arsenite oxidation. Transcription analysis also showed that mlg_0216 was only expressed under anaerobic conditions in the presence of arsenite. The mlg_0216 gene is referred to as arxA because of its greater homology to arrA relative to aoxB and previous reports that implicated Mlg_0216 (ArxA) of MLHE-1 in reversible arsenite oxidation and arsenate reduction in vitro. Our results and past observations support the position that ArxA is a distinct clade within the DMSO reductase family of proteins. These results raise further questions about the evolutionary relationships between arsenite oxidases (AoxB) and arsenate respiratory reductases (ArrA).
Arsenic is toxic to most organisms and is known to cause cancer in humans. However, bacteria have adapted several biotransformation pathways that function to either couple the reduction or oxidation of arsenicals to energy conservation and growth (1). The enzymologies of these two pathways have several features in common. The arsenate respiratory reductase (ArrAB) and arsenite oxidase (AoxAB) enzymes are usually composed of at least two subunits, a small iron-sulfur cluster-containing subunit (ArrB and AoxA) and a larger molybdopterin-containing catalytic subunit (ArrA and AoxB). Although they catalyze arsenic redox chemistry, ArrA and AoxB form distinct phylogenetic clades within the dimethyl sulfoxide (DMSO) reductase family of molybdenum-containing enzymes (16, 24).
Culture-dependent approaches have resulted in the isolation of a variety of diverse bacteria that metabolize arsenic (reviewed in reference 26). Many of these isolates have had their genomes sequenced, which has been insightful for understanding the composition and diversity of arrand aox gene clusters. In the arsenite-oxidizing nitrate reducer Alkalilimnicola ehrlichii strain MLHE-1 (a haloalkaliphile isolated from Mono Lake [CA]) (10, 15), bioinformatic analysis of its genome revealed the absence of genes homologous to the arsenite oxidase genes of the aoxBtype. Instead, two genes (mlg_0216 and mlg_2426) were identified that better resembled the catalytic subunit of the arsenate respiratory reductase (20); however, MLHE-1 has not been shown to respire (or reduce) arsenate (15). Recent work by Richey et al. (20) showed that the Mlg_0216 protein (and not Mlg_2426) was expressed under chemolithoautotrophic (10 mM arsenite and 10 mM nitrate) growth conditions. Moreover, it was shown that Mlg_0216 exhibits both arsenate reductase and arsenite oxidase activities in vitro. These observations raised the question, is the mlg_0216 gene required for arsenite oxidation in vivo? In this report, we addressed this question by developing a genetic system in MLHE-1, generating strains with mutations in mlg_0216 and mlg_2426, and physiologically characterizing the resulting strains. Our results implicate mlg_0216 in chemolithoautotrophic arsenite oxidation coupled to nitrate respiration.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JB.00244-10","usgsCitation":"Zargar, K., Hoeft, S.E., Oremland, R.S., and Saltikov, C.W., 2010, Identification of a novel arsenite oxidase gene, arxA, in the haloalkaliphilic, arsenite-oxidizing bacterium alkalilimnicola ehrlichii strain MLHE-1: Journal of Bacteriology, v. 192, no. 14, p. 3755-3762, https://doi.org/10.1128/JB.00244-10.","productDescription":"8 p.","startPage":"3755","endPage":"3762","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jb.00244-10","text":"Publisher Index Page"},{"id":358242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6b7e4b034bf6a7f467d","contributors":{"authors":[{"text":"Zargar, Kamrun","contributorId":52446,"corporation":false,"usgs":true,"family":"Zargar","given":"Kamrun","email":"","affiliations":[],"preferred":false,"id":747715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoeft, Shelley E.","contributorId":54077,"corporation":false,"usgs":true,"family":"Hoeft","given":"Shelley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":747716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":747718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236350,"text":"70236350 - 2010 - Reply to Comment on “Detrital U–Pb zircon dating of lower Ordovician syn-arc–continent collision conglomerates in the Irish Caledonides” by Peter D. Clift, Andrew Carter, Amy E. Draut, Hoang Van Long, David M. Chew, Hans A. Schouten, Tectonophysics 479 (2009), 165–174 (doi:10.1016/j.tecto.2008.07.018)","interactions":[],"lastModifiedDate":"2022-09-02T16:11:58.455719","indexId":"70236350","displayToPublicDate":"2010-07-01T10:55:15","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Reply to Comment on “Detrital U–Pb zircon dating of lower Ordovician syn-arc–continent collision conglomerates in the Irish Caledonides” by Peter D. Clift, Andrew Carter, Amy E. Draut, Hoang Van Long, David M. Chew, Hans A. Schouten, Tectonophysics 479 (2009), 165–174 (doi:10.1016/j.tecto.2008.07.018)","docAbstract":"No abstract available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2010.04.031","usgsCitation":"Clift, P., Carter, A., Draut, A., Van Long, H., and Schouten, H., 2010, Reply to Comment on “Detrital U–Pb zircon dating of lower Ordovician syn-arc–continent collision conglomerates in the Irish Caledonides” by Peter D. Clift, Andrew Carter, Amy E. Draut, Hoang Van Long, David M. Chew, Hans A. Schouten, Tectonophysics 479 (2009), 165–174 (doi:10.1016/j.tecto.2008.07.018): Tectonophysics, v. 490, no. 1-2, p. 138-139, https://doi.org/10.1016/j.tecto.2010.04.031.","productDescription":"2 p.","startPage":"138","endPage":"139","costCenters":[],"links":[{"id":406148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ireland","otherGeospatial":"British Isles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -370.31341552734375,\n 53.337433437129675\n ],\n [\n -369.31091308593744,\n 53.337433437129675\n ],\n [\n -369.31091308593744,\n 54.03681240523652\n ],\n [\n -370.31341552734375,\n 54.03681240523652\n ],\n [\n -370.31341552734375,\n 53.337433437129675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"490","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clift, Peter D.","contributorId":103203,"corporation":false,"usgs":true,"family":"Clift","given":"Peter D.","affiliations":[],"preferred":false,"id":850717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Andrew","contributorId":296128,"corporation":false,"usgs":false,"family":"Carter","given":"Andrew","affiliations":[{"id":63236,"text":"University of London","active":true,"usgs":false}],"preferred":false,"id":850718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draut, Amy E. aeast@usgs.gov","contributorId":139707,"corporation":false,"usgs":true,"family":"Draut","given":"Amy E.","email":"aeast@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":850719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Long, Hoang","contributorId":296129,"corporation":false,"usgs":false,"family":"Van Long","given":"Hoang","email":"","affiliations":[{"id":7165,"text":"University of Aberdeen","active":true,"usgs":false}],"preferred":false,"id":850720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schouten, Hans","contributorId":64474,"corporation":false,"usgs":true,"family":"Schouten","given":"Hans","affiliations":[],"preferred":false,"id":850721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248931,"text":"70248931 - 2010 - Channel geomorphic responses to disturbances assessed using streamgage information","interactions":[],"lastModifiedDate":"2023-09-26T15:50:23.119873","indexId":"70248931","displayToPublicDate":"2010-07-01T10:34:32","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Channel geomorphic responses to disturbances assessed using streamgage information","docAbstract":"No abstract available.
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Planum","interactions":[],"lastModifiedDate":"2018-11-20T10:24:57","indexId":"70201008","displayToPublicDate":"2010-07-01T10:24:16","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum","docAbstract":"We have used visible and near‐infrared Panoramic Camera (Pancam) spectral data acquired by the Opportunity rover to analyze 15 rock fragments at the Meridiani Planum landing site. These spectral results were then compared to geochemistry measurements made by the in situ instruments Mössbauer (MB) and Alpha Particle X‐ray Spectrometer (APXS) to determine the feasibility of mineralogic characterization from Pancam data. Our results suggest that dust and alteration rinds coat many rock fragments, which limits our ability to adequately measure the mineralogy of some rocks from Pancam spectra relative to the different field of view and penetration depths of MB and APXS. Viewing and lighting geometry, along with sampling size, also complicate the spectral characterization of the rocks. Rock fragments with the same geochemistry of sulfate‐rich outcrops have similar spectra, although the sulfate‐rich composition cannot be ascertained based upon Pancam spectra alone. FeNi meteorites have spectral characteristics, particularly ferric oxide coatings, that generally differentiate them from other rocks at the landing site. Stony meteorites and impact fragments with unknown compositions have a diverse range of spectral properties and are not well constrained nor diagnostic in Pancam data. Bounce Rock, with its unique basalt composition, is easily differentiated in the Pancam data from all other rock types at Meridiani Planum. Our Pancam analyses of small pebbles adjacent to these 15 rock fragments suggests that other rock types may exist at the landing site but have not yet been geochemically measured.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003660","usgsCitation":"Weitz, C.M., Farrand, W., Johnson, J.R., Fleischer, I., Schroder, C., Yingst, A., Jolliff, B.L., Gellert, R., Bell, J., Herkenhoff, K.E., Klingelhoefer, G., Cohen, B., Calvin, W.M., Rutherford, M., and Ashley, J.W., 2010, Visible and near-infrared multispectral analysis of geochemically measured rock fragments at the Opportunity landing site in Meridiani Planum: Journal of Geophysical Research E: Planets, v. 115, no. 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Their chemical and mineralogical composition is similar to the howardite, eucrite, and diogenite group but with additional metal, similar to mesosiderite silicate clasts. Because of their virtually identical composition and because they appear to represent a relatively rare group of meteorites, they are probably paired. The four rocks were investigated serendipitously several kilometers apart, suggesting that Opportunity is driving across a larger population of similar rock fragments, maybe a meteorite strewn field. Small amounts of ferric Fe are a result of weathering. We did not observe evidence for fusion crusts. Four iron meteorites were found across the same area. Although mesosiderites are stony irons, a genetic link to these irons is unlikely. The stony meteorites probably fell later than the irons. The current atmosphere is sufficiently dense to land such meteorites at shallow entry angles, and it would disperse fragments over several kilometers upon atmospheric breakup. Alternatively, dispersion by spallation from an impacting meteoroid may have occurred. Santa Catarina and a large accumulation of similar rocks were found at the rim of Victoria crater. It is possible that they are associated with the impactor that created Victoria crater, but our limited knowledge about their distribution cannot exclude mere coincidence.
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","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003674","usgsCitation":"Geissler, P.E., Sullivan, R., Golombek, M., Johnson, J.R., Herkenhoff, K.E., Bridges, N., Vaughan, A., Maki, J., Parker, T., and Bell, J., 2010, Gone with the wind: Eolian erasure of the Mars Rover tracks: Journal of Geophysical Research E: Planets, v. 115, no. 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The third winter campaign took advantage of parking on the northern slope of Home Plate to tilt the vehicle to track the sun and thus survive the winter season. With the onset of the spring season, Spirit began circumnavigating Home Plate on the way to volcanic constructs located to the south. Silica‐rich nodular rocks were discovered in the valley to the north of Home Plate. The inoperative right front wheel drive actuator made climbing soil‐covered slopes problematical and led to high slip conditions and extensive excavation of subsurface soils. This situation led to embedding of Spirit on the side of a shallow, 8 m wide crater in Troy, located in the valley to the west of Home Plate. Examination of the materials exposed during embedding showed that Spirit broke through a thin sulfate‐rich soil crust and became embedded in an underlying mix of sulfate and basaltic sands. The nature of the crust is consistent with dissolution and precipitation in the presence of soil water within a few centimeters of the surface. The observation that sulfate‐rich deposits in Troy and elsewhere in the Columbia Hills are just beneath the surface implies that these processes have operated on a continuing basis on Mars as landforms have been shaped by erosion and deposition.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003633","usgsCitation":"Arvidson, R., Bell, J., Bellutta, P., Cabrol, N., Catalano, J., Cohen, J., Crumpler, L., Des Marais, D.J., Estlin, T., Farrand, W., Gellert, R., Grant, J.A., Greenberger, R.N., Guinness, E., Herkenhoff, K.E., Herman, J., Iagnemma, K., Johnson, J.R., Klingelhoefer, G., Lichtenberg, K., Maxwell, S., Ming, D.W., Morris, R., Rice, M., Ruff, S.W., Shaw, A., Siebach, K.L., de Souza, P.A., Stroupe, A., Squyres, S.W., Sullivan, R., Talley, K., Townsend, J., Wang, A., Wright, J., and Yen, A.S., 2010, Spirit Mars Rover Mission: Overview and selected results from the northern Home Plate Winter Haven to the side of Scamander crater: Journal of Geophysical Research E: Planets, v. 115, no. 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To date, about a dozen of these rocks have been analyzed with Opportunity's contact instruments, providing information about elemental chemistry (Alpha Particle X‐ray Spectrometer), iron mineralogy and oxidation states (Mössbauer Spectrometer) and texture (Microscopic Imager). These “cobbles” appear to be impact related, and three distinct groups can be identified on the basis of chemistry and mineralogy. The first group comprises bright fragments of the sulfate‐rich bedrock that are compositionally and texturally indistinguishable from outcrop rocks. All other cobbles are dark and are divided into two groups, referred to as the “Barberton group” and the “Arkansas group,” after the first specimen of each that was encountered by Opportunity. Barberton group cobbles are interpreted as meteorites with an overall chemistry and mineralogy consistent with a mesosiderite silicate clast composition. Arkansas group cobbles appear to be related to Meridiani outcrop and contain an additional basaltic component. They have brecciated textures, pointing to an impact‐related origin during which local bedrock and basaltic material were mixed.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003621","usgsCitation":"Fleischer, I., Bruckner, J., Schroder, C., Farrand, W., Treguier, E., Morris, R., Klingelhoefer, G., Herkenhoff, K.E., Mittlefehldt, D.W., Ashley, J., Golombek, M., Johnson, J.R., Jolliff, B., Squyres, S.W., Weitz, C., Gellert, R., de Souza, P.A., and Cohen, B.A., 2010, Mineralogy and chemistry of cobbles at Meridiani Planum, Mars, investigated by the Mars Exploration Rover Opportunity: Journal of Geophysical Research E: Planets, v. 155, no. E7, 16 p., https://doi.org/10.1029/2010JE003621.","productDescription":"16 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1893/17131","text":"External Repository"},{"id":359590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"155","issue":"E7","noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","scienceBaseUri":"5bf52b6be4b045bfcae28020","contributors":{"authors":[{"text":"Fleischer, I.","contributorId":70096,"corporation":false,"usgs":true,"family":"Fleischer","given":"I.","email":"","affiliations":[],"preferred":false,"id":751566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruckner, J.","contributorId":12241,"corporation":false,"usgs":true,"family":"Bruckner","given":"J.","email":"","affiliations":[],"preferred":false,"id":751567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroder, C.","contributorId":98200,"corporation":false,"usgs":true,"family":"Schroder","given":"C.","email":"","affiliations":[],"preferred":false,"id":751568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrand, W.","contributorId":32661,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","affiliations":[],"preferred":false,"id":751569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treguier, E.","contributorId":210736,"corporation":false,"usgs":false,"family":"Treguier","given":"E.","email":"","affiliations":[],"preferred":false,"id":751570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morris, R.V.","contributorId":173327,"corporation":false,"usgs":false,"family":"Morris","given":"R.V.","email":"","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":751571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klingelhoefer, G.","contributorId":29177,"corporation":false,"usgs":true,"family":"Klingelhoefer","given":"G.","email":"","affiliations":[],"preferred":false,"id":751572,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":751573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mittlefehldt, David W.","contributorId":34026,"corporation":false,"usgs":true,"family":"Mittlefehldt","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":751574,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ashley, J.","contributorId":196339,"corporation":false,"usgs":false,"family":"Ashley","given":"J.","email":"","affiliations":[],"preferred":false,"id":751575,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Golombek, M.","contributorId":72506,"corporation":false,"usgs":true,"family":"Golombek","given":"M.","affiliations":[],"preferred":false,"id":751576,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":751577,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jolliff, B.","contributorId":105077,"corporation":false,"usgs":true,"family":"Jolliff","given":"B.","affiliations":[],"preferred":false,"id":751578,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Squyres, Steve W.","contributorId":90212,"corporation":false,"usgs":true,"family":"Squyres","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":751579,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weitz, C.","contributorId":107409,"corporation":false,"usgs":true,"family":"Weitz","given":"C.","email":"","affiliations":[],"preferred":false,"id":751580,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gellert, R.","contributorId":167508,"corporation":false,"usgs":false,"family":"Gellert","given":"R.","affiliations":[{"id":24733,"text":"Department of Physics, University of Guelph","active":true,"usgs":false}],"preferred":false,"id":751581,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"de Souza, Paulo A. 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A.","contributorId":34239,"corporation":false,"usgs":true,"family":"Cohen","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":751583,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70179289,"text":"70179289 - 2010 - Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","interactions":[],"lastModifiedDate":"2016-12-27T12:42:57","indexId":"70179289","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","docAbstract":"We used a two-dimensional (2D) hydrodynamic model to simulate and compare the hydraulic characteristics in a 74-km reach of the Columbia River (the Bonneville Reach) before and after construction of Bonneville Dam. For hydrodynamic modeling, we created a bathymetric layer of the Bonneville Reach from single-beam and multi-beam echo-sounder surveys, digital elevation models, and navigation surveys. We calibrated the hydrodynamic model at 100 and 300 kcfs with a user-defined roughness layer, a variable-sized mesh, and a U.S. Army Corps of Engineers backwater curve. We verified the 2D model with acoustic Doppler current profiler (ADCP) data at 14 transects and three flows. The 2D model was 88% accurate for water depths, and 77% accurate for velocities. We verified a pre-dam 2D model run at 126 kcfs using pre-dam aerial photos from September 1935. Hydraulic simulations indicated that mean water depths in the Bonneville Reach increased by 34% following dam construction, while mean velocities decreased by 58%. There are numerous activities that would benefit from data output from the 2D model, including biological sampling, bioenergetics, and spatially explicit habitat modeling.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.084.0301","usgsCitation":"Hatten, J.R., and Batt, T.R., 2010, Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River: Northwest Science, v. 84, no. 3, p. 207-222, https://doi.org/10.3955/046.084.0301.","productDescription":"16 p. 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In many instances, this occurs with the end of early crater modification, leaving an obvious sedimentological boundary between impactites and secular sediments. However, in marine-target craters the transition from early crater collapse (i.e., water resurge) to postimpact sedimentation can appear gradual. With the a priori assumption that the reworked target materials of the resurge deposits have a different chemical composition to the secular sediments we use chemostratigraphy (δ13Ccarb, %Corg, major elements) of sediments from the Chesapeake Bay, Lockne, and Tvären craters, to define this boundary. We show that the end of impact-related sedimentation in these cases is fairly rapid, and does not necessarily coincide with a visual boundary (e.g., grain size shift). Therefore, in some cases, the boundary is more precisely determined by chemostratigraphy, especially carbonate carbon isotope variations, rather than by visual inspection. It is also shown how chemostratigraphy can confirm the age of marine-target craters that were previously determined by biostratigraphy; by comparing postimpact carbon isotope trends with established regional trends.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1945-5100.2010.01084.x","usgsCitation":"Ormö, J., Hill, A., and Self-Trail, J.M., 2010, A chemostratigraphic method to determine the end of impact-related sedimentation at marine-target impact craters (Chesapeake Bay, Lockne, Tvären): Meteoritics and Planetary Science, v. 45, no. 7, p. 1206-1224, https://doi.org/10.1111/j.1945-5100.2010.01084.x.","productDescription":"19 p.","startPage":"1206","endPage":"1224","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":475703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1945-5100.2010.01084.x","text":"Publisher Index Page"},{"id":317959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden, United States","otherGeospatial":"Chesapeake Bay, Lockne crater, Tvären crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.146240234375,\n 36.94111143010769\n ],\n [\n -75.970458984375,\n 37.1165261849112\n ],\n [\n -76.014404296875,\n 37.274052809979054\n ],\n [\n -75.970458984375,\n 37.501010429493284\n ],\n [\n -75.7177734375,\n 37.91820111976663\n ],\n [\n -75.728759765625,\n 37.97884504049713\n ],\n [\n -75.904541015625,\n 37.94419750075404\n ],\n [\n -75.948486328125,\n 38.272688535980976\n ],\n [\n -76.13525390624999,\n 38.272688535980976\n ],\n [\n -76.31103515625,\n 38.46219172306828\n ],\n [\n -76.2890625,\n 38.66835610151506\n ],\n [\n -76.190185546875,\n 38.805470223177466\n ],\n [\n -76.2890625,\n 39.104488809440475\n ],\n [\n -76.124267578125,\n 39.402244340292775\n ],\n [\n -75.89355468749999,\n 39.410733055084954\n ],\n [\n -75.9375,\n 39.58029027440865\n ],\n [\n -76.0693359375,\n 39.57182223734374\n ],\n [\n -76.278076171875,\n 39.42770738465604\n ],\n [\n -76.497802734375,\n 39.29179704377487\n ],\n [\n -76.53076171875,\n 39.18117526158749\n ],\n [\n -76.409912109375,\n 38.98503278695909\n ],\n [\n -76.585693359375,\n 38.788345355085625\n ],\n [\n -76.46484375,\n 38.522384090200845\n ],\n [\n -76.32202148437499,\n 38.16047628099622\n ],\n [\n -76.32202148437499,\n 38.07404145941957\n ],\n [\n -76.22314453125,\n 37.85750715625203\n ],\n [\n -76.31103515625,\n 37.68382032669382\n ],\n [\n -76.2451171875,\n 37.36142550190517\n ],\n [\n -76.37695312499999,\n 37.37888785004527\n ],\n [\n -76.409912109375,\n 37.309014074275915\n ],\n [\n -76.44287109375,\n 37.23032838760387\n ],\n [\n -76.3330078125,\n 37.142803443716836\n ],\n [\n -76.2890625,\n 36.99377838872517\n ],\n [\n -76.146240234375,\n 36.94111143010769\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 14.731292724609375,\n 63.04811334837414\n ],\n [\n 15.003204345703127,\n 63.06118151662527\n ],\n [\n 15.078735351562498,\n 62.940857924728164\n ],\n [\n 14.850769042968748,\n 62.904601509672496\n ],\n [\n 14.710693359374998,\n 63.04437850893178\n ],\n [\n 14.731292724609375,\n 63.04811334837414\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 17.412643432617188,\n 58.75929834805574\n ],\n [\n 17.471694946289062,\n 58.76285934617994\n ],\n [\n 17.480621337890625,\n 58.71083253693014\n ],\n [\n 17.428436279296875,\n 58.7122589658433\n ],\n [\n 17.413330078125,\n 58.754312337652784\n ],\n [\n 17.412643432617188,\n 58.75929834805574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-10-11","publicationStatus":"PW","scienceBaseUri":"56bdbebae4b06458514aeeba","contributors":{"authors":[{"text":"Ormö, Jens","contributorId":166745,"corporation":false,"usgs":false,"family":"Ormö","given":"Jens","affiliations":[],"preferred":false,"id":619969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Andrew C.","contributorId":166746,"corporation":false,"usgs":false,"family":"Hill","given":"Andrew C.","affiliations":[],"preferred":false,"id":619970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Self-Trail, Jean M. jstrail@usgs.gov","contributorId":2205,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","middleInitial":"M.","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":619971,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178328,"text":"70178328 - 2010 - Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","interactions":[],"lastModifiedDate":"2016-11-14T13:05:40","indexId":"70178328","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Delineating a road-salt plume in lakebed sediments using electrical resistivity, piezometers, and seepage meters at Mirror Lake, New Hampshire, U.S.A","docAbstract":"Electrical-resistivity surveys, seepage meter measurements, and drive-point piezometers have been used to characterize chloride-enriched groundwater in lakebed sediments of Mirror Lake, New Hampshire, U.S.A. A combination of bottom-cable and floating-cable electrical-resistivity surveys identified a conductive zone
We examined results from the first national-scale effort to estimate mourning dove (Zenaida macroura) age ratios and developed a simple, efficient, and generalizable methodology for calibrating estimates. Our method predicted age classes of unknown-age wings based on backward projection of molt distributions from fall harvest collections to preseason banding. We estimated 1) the proportion of late-molt individuals in each age class, and 2) the molt rates of juvenile and adult birds. Monte Carlo simulations demonstrated our estimator was minimally biased. We estimated model parameters using 96,811 wings collected from hunters and 42,189 birds banded during preseason from 68 collection blocks in 22 states during the 2005–2007 hunting seasons. We also used estimates to derive a correction factor, based on latitude and longitude of samples, which can be applied to future surveys. We estimated differential vulnerability of age classes to harvest using data from banded birds and applied that to harvest age ratios to estimate population age ratios. Average, uncorrected age ratio of known-age wings for states that allow hunting was 2.25 (SD 0.85) juveniles:adult, and average, corrected ratio was 1.91 (SD 0.68), as determined from harvest age ratios from an independent sample of 41,084 wings collected from random hunters in 2007 and 2008. We used an independent estimate of differential vulnerability to adjust corrected harvest age ratios and estimated the average population age ratio as 1.45 (SD 0.52), a direct measure of recruitment rates. Average annual recruitment rates were highest east of the Mississippi River and in the northwestern United States, with lower rates between. Our results demonstrate a robust methodology for calibrating recruitment estimates for mourning doves and represent the first large-scale estimates of recruitment for the species. Our methods can be used by managers to correct future harvest survey data to generate recruitment estimates for use in formulating harvest management strategies.
","language":"English","publisher":"Wiley","doi":"10.2193/2009-409","usgsCitation":"Miller, D.A., and Otis, D.L., 2010, Calibrating recruitment estimates for mourning doves from harvest age ratios: Journal of Wildlife Management, v. 74, no. 5, p. 1070-1078, https://doi.org/10.2193/2009-409.","productDescription":"9 p.","startPage":"1070","endPage":"1078","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"56f50fb1e4b0f59b85e1eaa2","contributors":{"authors":[{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":623492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":623621,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190411,"text":"70190411 - 2010 - Using a composite grid approach in a complex coastal domain to estimate estuarine residence time","interactions":[],"lastModifiedDate":"2018-02-07T19:03:10","indexId":"70190411","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Using a composite grid approach in a complex coastal domain to estimate estuarine residence time","docAbstract":"We investigate the processes that influence residence time in a partially mixed estuary using a three-dimensional circulation model. The complex geometry of the study region is not optimal for a structured grid model and so we developed a new method of grid connectivity. This involves a novel approach that allows an unlimited number of individual grids to be combined in an efficient manner to produce a composite grid. We then implemented this new method into the numerical Regional Ocean Modeling System (ROMS) and developed a composite grid of the Hudson River estuary region to investigate the residence time of a passive tracer. Results show that the residence time is a strong function of the time of release (spring vs. neap tide), the along-channel location, and the initial vertical placement. During neap tides there is a maximum in residence time near the bottom of the estuary at the mid-salt intrusion length. During spring tides the residence time is primarily a function of along-channel location and does not exhibit a strong vertical variability. This model study of residence time illustrates the utility of the grid connectivity method for circulation and dispersion studies in regions of complex geometry.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2009.11.008","usgsCitation":"Warner, J., Geyer, W.R., and Arango, H.G., 2010, Using a composite grid approach in a complex coastal domain to estimate estuarine residence time: Computers & Geosciences, v. 36, no. 7, p. 921-935, https://doi.org/10.1016/j.cageo.2009.11.008.","productDescription":"15 p.","startPage":"921","endPage":"935","ipdsId":"IP-013332","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475705,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3819","text":"External Repository"},{"id":345366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced4e4b0fd9b77d092be","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geyer, W. Rockwell","contributorId":195908,"corporation":false,"usgs":false,"family":"Geyer","given":"W.","email":"","middleInitial":"Rockwell","affiliations":[],"preferred":false,"id":709029,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Arango, Herman G.","contributorId":196032,"corporation":false,"usgs":false,"family":"Arango","given":"Herman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":709028,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ]}