From 1932 to 2010, coastal Louisiana has experienced a net loss of 4877 km2 of wetlands. As the area of these wetlands has changed, so too has the spatial configuration of the landscape. The resulting landscape is a mosaic of patches of wetlands and open water. This study examined the spatial and temporal variability of trajectories of landscape configuration and the relation of those patterns to the trajectories of land change in wetlands during a 1985–2010 observation period. Spatial configuration was quantified using multi-temporal satellite imagery and an aggregation index (AI). The results of this analysis indicate that coastal Louisiana experienced a reduction in the AI of coastal wetlands of 1.07 %. In general, forested wetland and fresh marsh types displayed the highest aggregation and stability. The remaining marsh types, (intermediate, brackish, and saline) all experienced disaggregation during the time period, with increasing severity of disaggregation along an increasing salinity gradient. Finally, a correlation (r 2 = 0.5562) was found between AI and the land change rate for the subsequent period, indicating that fragmentation can increase the vulnerability of wetlands to further wetland loss. These results can help identify coastal areas which are susceptible to future wetland loss.
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Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Observations of recruitment and colonization by tunicates and associated invertebrates using giant one-meter2 recruitment plates at Woods Hole, Massachusetts","docAbstract":"Large recruitment plates measuring 1 × 1 m were deployed over an 18-month period from September 2013 to March 2015 for the purpose of documenting recruitment and colonization processes of marine invertebrate species at Woods Hole, Massachusetts. Each side of two plates was subdivided into 16 subareas (25 × 25 cm), and an observational strategy was developed whereby, at approximately two-week intervals, a different subarea was cleaned. Using this approach, we were able to photographically document species recruitment and growth interactions. Water temperature records from the site show that steady warming and cooling between 3 and 20° C changed at a mean rate of 0.2 ° C d-1. However, temperature changes during the coolest and warmest parts of the temperature cycle were highly variable. In 2014, between the first and last occurrence of 0° C, temperatures were ≤0° C 15 percent of the time, but in 2015 temperatures were ≤0° C 93 percent of the time. In 2014, between the first and last occurrence of 21° C, temperatures were ≥21° C 88 percent of the time, and this warm period correlated with the disappearance of the hydroid Ectopleura crocea, the solitary tunicates Ascidiella aspersa and Ciona intestinalis, and the 2013 generation of Botrylloides violaceus. In Woods Hole, large plates provided enough space to accommodate both fast- and slow-colonizing species, resulting in the establishment of a diverse assemblage that was observed over a long time period. The most successful colonizing species had relatively long reproductive and recruitment periods, grew rapidly, repelled settlement onto their surfaces by larvae of any species, defended themselves against overgrowth by any species, overwintered, and lived a long time. Of the three dominant species observed in this study, the colonial tunicates Didemnum vexillum and Botrylloides violaceus had these qualities; the encrusting colonial bryozoan Schizoporella unicornis had all but one, it grew more slowly than the others. Barnacles constituted the only biological substrate that was effectively colonized by other species, both by larval recruitment and overgrowth. In Woods Hole, after a substrate had become fully colonized, there was very little opportunity for new recruitment or colony growth until new substrate opened after the death of colonies and individuals and the disappearance of biogenic structures such as amphipod tubes. An understanding of colonization processes utilized by invasive species allows prediction of their potential effects on ecosystems in areas where they are not yet present.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Management of Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"conferenceTitle":"5th International Invasive Sea Squirt Conference","conferenceDate":"Oct. 29-31, 2014","conferenceLocation":"Woods Hole, USA","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Spain","doi":"10.3391/mbi.2016.7.1.14","usgsCitation":"Valentine, P.C., Carman, M., and Blackwood, D.S., 2016, Observations of recruitment and colonization by tunicates and associated invertebrates using giant one-meter2 recruitment plates at Woods Hole, Massachusetts: Management of Biological Invasions, v. 7, no. 1, p. 115-130, https://doi.org/10.3391/mbi.2016.7.1.14.","productDescription":"16 p.","startPage":"115","endPage":"130","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072849","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.1.14","text":"Publisher Index Page"},{"id":318576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Woods Hole","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6756067276001,\n 41.51834634058004\n ],\n [\n -70.6756067276001,\n 41.52959176830832\n ],\n [\n -70.66213130950928,\n 41.52959176830832\n ],\n [\n -70.66213130950928,\n 41.51834634058004\n ],\n [\n -70.6756067276001,\n 41.51834634058004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56dabfeee4b015c306f84ce4","contributors":{"authors":[{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carman, M.R.","contributorId":24177,"corporation":false,"usgs":true,"family":"Carman","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":621959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":621960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168437,"text":"70168437 - 2016 - The link between volcanism and plutonism in epizonal magma systems; high-precision U–Pb zircon geochronology from the Organ Mountains caldera and batholith, New Mexico","interactions":[],"lastModifiedDate":"2016-02-12T14:00:32","indexId":"70168437","displayToPublicDate":"2016-02-12T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"The link between volcanism and plutonism in epizonal magma systems; high-precision U–Pb zircon geochronology from the Organ Mountains caldera and batholith, New Mexico","docAbstract":"The Organ Mountains caldera and batholith expose the volcanic and epizonal plutonic record of an Eocene caldera complex. The caldera and batholith are well exposed, and extensive previous mapping and geochemical analyses have suggested a clear link between the volcanic and plutonic sections, making this an ideal location to study magmatic processes associated with caldera volcanism. Here we present high-precision thermal ionization mass spectrometry U–Pb zircon dates from throughout the caldera and batholith, and use these dates to test and improve existing petrogenetic models. The new dates indicate that Eocene volcanic and plutonic rocks in the Organ Mountains formed from ~44 to 34 Ma. The three largest caldera-related tuff units yielded weighted mean 206Pb/238U dates of 36.441 ± 0.020 Ma (Cueva Tuff), 36.259 ± 0.016 Ma (Achenback Park tuff), and 36.215 ± 0.016 Ma (Squaw Mountain tuff). An alkali feldspar granite, which is chemically similar to the erupted tuffs, yielded a synchronous weighted mean 206Pb/238U date of 36.259 ± 0.021 Ma. Weighted mean 206Pb/238U dates from the larger volume syenitic phase of the underlying Organ Needle pluton range from 36.130 ± 0.031 to 36.071 ± 0.012 Ma, and the youngest sample is 144 ± 20 to 188 ± 20 ka younger than the Squaw Mountain and Achenback Park tuffs, respectively. Younger plutonism in the batholith continued through at least 34.051 ± 0.029 Ma. We propose that the Achenback Park tuff, Squaw Mountain tuff, alkali feldspar granite and Organ Needle pluton formed from a single, long-lived magma chamber/mush zone. Early silicic magmas generated by partial melting of the lower crust rose to form an epizonal magma chamber. Underplating of the resulting mush zone led to partial melting and generation of a high-silica alkali feldspar granite cap, which erupted to form the tuffs. The deeper parts of the chamber underwent continued recharge and crystallization for 144 ± 20 ka after the final eruption. Calculated magmatic fluxes for the Organ Needle pluton range from 0.0006 to 0.0030 km3/year, in agreement with estimates from other well-studied plutons. The petrogenetic evolution proposed here may be common to many small-volume silicic volcanic systems.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-015-1208-6","usgsCitation":"Rioux, M., Farmer, L., Bowring, S., Wooton, K.M., Amato, J.M., Coleman, D.S., and Verplanck, P.L., 2016, The link between volcanism and plutonism in epizonal magma systems; high-precision U–Pb zircon geochronology from the Organ Mountains caldera and batholith, New Mexico: Contributions to Mineralogy and Petrology, v. 171, no. 13, 22 p., https://doi.org/10.1007/s00410-015-1208-6.","productDescription":"22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070760","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471239,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1721.1/105197","text":"External Repository"},{"id":318007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Organ Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.38174438476562,\n 31.786551553613972\n ],\n [\n -107.38174438476562,\n 32.186073305250275\n ],\n [\n -106.89147949218749,\n 32.186073305250275\n ],\n [\n -106.89147949218749,\n 31.786551553613972\n ],\n [\n -107.38174438476562,\n 31.786551553613972\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"171","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"56bf0239e4b06458514b3133","contributors":{"authors":[{"text":"Rioux, Matthew","contributorId":166814,"corporation":false,"usgs":false,"family":"Rioux","given":"Matthew","email":"","affiliations":[{"id":24531,"text":"Earth Research Institute, University of California, Santa Barbara, CA, 93106, USA","active":true,"usgs":false}],"preferred":false,"id":620129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Lang","contributorId":40301,"corporation":false,"usgs":true,"family":"Farmer","given":"Lang","email":"","affiliations":[],"preferred":false,"id":620130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowring, Samuel","contributorId":149750,"corporation":false,"usgs":false,"family":"Bowring","given":"Samuel","email":"","affiliations":[{"id":17812,"text":"Dept. of Earth and Planetary Sciences, Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":620131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooton, Kathleen M.","contributorId":166815,"corporation":false,"usgs":false,"family":"Wooton","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[{"id":24532,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, NC 27599, USA","active":true,"usgs":false}],"preferred":false,"id":620132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amato, Jeffrey M.","contributorId":67317,"corporation":false,"usgs":true,"family":"Amato","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coleman, Drew S.","contributorId":71442,"corporation":false,"usgs":true,"family":"Coleman","given":"Drew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":620134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":620128,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168438,"text":"70168438 - 2016 - The distribution and composition of REE-bearing minerals in placers of the Atlantic and Gulf coastal plains, USA","interactions":[],"lastModifiedDate":"2016-02-16T14:18:33","indexId":"70168438","displayToPublicDate":"2016-02-12T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"The distribution and composition of REE-bearing minerals in placers of the Atlantic and Gulf coastal plains, USA","docAbstract":"Rare earth element (REE) resources are currently of great interest because of their importance as raw materials for high-technology manufacturing. The REE-phosphates monazite (light REE enriched) and xenotime (heavy REE enriched) resist weathering and can accumulate in placer deposits as part of the heavy mineral assemblage. The Atlantic and Gulf coastal plains of the southeastern United States are known to host heavy mineral deposits with economic concentrations of zircon, ilmenite and rutile. This study provides a perspective on the distribution and composition of REE phosphate minerals in the region. The elemental chemistry and mineralogy of sands and associated heavy-mineral assemblages from new and archived sediment samples across the coastal plains are examined, along with phase-specific compositions of monazite, xenotime and zircon. Both monazite and xenotime are present across the coastal plains. The phase-specific compositions allow monazite content to be estimated using La as a geochemical proxy. Similarly, both Y and Yb are geochemical proxies for xenotime, but their additional presence in zircon and monazite require a correction to prevent overestimation of xenotime content. Applying this correction, maps of monazite and xenotime content across the coastal plains were generated using sample coverage from the National Geochemical Database (NGS) and National Uranium Resource Evaluation (NURE). The NGS and NURE approach of sampling stream sediments in small watersheds links samples to nearby lithologies. The results show an approximately 40 km-wide band of primarily Cretaceous, marine sediments bordering the Piedmont province from North Carolina to Alabama in which monazite and xenotime content are relatively high (up to 4.4 wt. % in < 150 μm bulk sediment). Strong correlations between concentrations of the two phases were found, with estimated monazite:xenotime ratios ranging approximately 6:1 to 12:1 depending upon the dataset analyzed. From a resource perspective, xenotime correlation with monazite indicates a heavy REE potential in coastal plain placers, and exploration may be warranted within the identified coastal plain band along the boundary of the Piedmont region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2015.12.011","usgsCitation":"Bern, C.R., Shah, A.K., Benzel, W., and Lowers, H., 2016, The distribution and composition of REE-bearing minerals in placers of the Atlantic and Gulf coastal plains, USA: Journal of Geochemical Exploration, v. 162, p. 50-61, https://doi.org/10.1016/j.gexplo.2015.12.011.","productDescription":"12 p.","startPage":"50","endPage":"61","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066561","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":318006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.669921875,\n 28.613459424004414\n ],\n [\n -91.669921875,\n 38.548165423046584\n ],\n [\n -74.794921875,\n 38.548165423046584\n ],\n [\n -74.794921875,\n 28.613459424004414\n ],\n [\n -91.669921875,\n 28.613459424004414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"162","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf0236e4b06458514b3129","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":620135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":620136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":620137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowers, Heather A. hlowers@usgs.gov","contributorId":149265,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather A.","email":"hlowers@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":620138,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168428,"text":"70168428 - 2016 - Production of greenhouse-grown biocrust mosses and associated cyanobacteria to rehabilitate dryland soil function","interactions":[],"lastModifiedDate":"2016-05-12T10:37:55","indexId":"70168428","displayToPublicDate":"2016-02-12T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Production of greenhouse-grown biocrust mosses and associated cyanobacteria to rehabilitate dryland soil function","docAbstract":"Mosses are an often-overlooked component of dryland ecosystems, yet they are common members of biological soil crust communities (biocrusts) and provide key ecosystem services, including soil stabilization, water retention, carbon fixation, and housing of N2 fixing cyanobacteria. Mosses are able to survive long dry periods, respond rapidly to precipitation, and reproduce vegetatively. With these qualities, dryland mosses have the potential to be an excellent dryland restoration material. Unfortunately, dryland mosses are often slow growing in nature, and ex situ cultivation methods are needed to enhance their utility. Our goal was to determine how to rapidly produce, vegetatively, Syntrichia caninervis and S. ruralis, common and abundant moss species in drylands of North America and elsewhere, in a greenhouse. We manipulated the length of hydration on a weekly schedule (5, 4, 3, or 2 days continuous hydration per week), crossed with fertilization (once at the beginning, monthly, biweekly, or not at all). Moss biomass increased sixfold for both species in 4 months, an increase that would require years under dryland field conditions. Both moss species preferred short hydration and monthly fertilizer. Remarkably, we also unintentionally cultured a variety of other important biocrust organisms, including cyanobacteria and lichens. In only 6 months, we produced functionally mature biocrusts, as evidenced by high productivity and ecosystem-relevant levels of N2 fixation. Our results suggest that biocrust mosses might be the ideal candidate for biocrust cultivation for restoration purposes. With optimization, these methods are the first step in developing a moss-based biocrust rehabilitation technology.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12311","usgsCitation":"Antoninka, A., Bowker, M.A., Reed, S.C., and Doherty, K., 2016, Production of greenhouse-grown biocrust mosses and associated cyanobacteria to rehabilitate dryland soil function: Restoration Ecology, v. 24, no. 3, p. 324-335, https://doi.org/10.1111/rec.12311.","productDescription":"12 p.","startPage":"324","endPage":"335","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068497","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-26","publicationStatus":"PW","scienceBaseUri":"56bf0230e4b06458514b310a","contributors":{"authors":[{"text":"Antoninka, Anita","contributorId":166769,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","affiliations":[{"id":24503,"text":"Northern Arizona University, School of Forestry, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":620058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":620059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":620057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Kyle 0000-0002-3742-7839 kdoherty@usgs.gov","orcid":"https://orcid.org/0000-0002-3742-7839","contributorId":166770,"corporation":false,"usgs":true,"family":"Doherty","given":"Kyle","email":"kdoherty@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":620060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168429,"text":"70168429 - 2016 - Nutrient resorption helps drive intra-specific coupling of foliar nitrogen and phosphorus under nutrient-enriched conditions","interactions":[],"lastModifiedDate":"2016-02-12T13:37:48","indexId":"70168429","displayToPublicDate":"2016-02-12T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient resorption helps drive intra-specific coupling of foliar nitrogen and phosphorus under nutrient-enriched conditions","docAbstract":"Plant biomass growth, storage, and decomposition connect nitrogen (N) and phosphorus (P) cycles, yet we know relatively little about the dynamics of such coupling under nutrient enriched conditions, and our understanding of the interactive relationships between plant N and P in drylands remains particularly poor.
\nIn a semiarid steppe of northern China, we examined the effects of single and combined N and P additions on soil and plant N and P pools for both mature and senesced leaves in two dominant grasses: Leymus chinensis and Stipa grandis.
\nNitrogen additions increased N concentrations in mature and senesced leaves for each plant species, and decreased N and P resorption during leaf senescence. The effects of N additions on foliar P concentrations were species-specific, while P additions had no effect on any nutrient characteristics examined. Due to treatment effects on N resorption, N and P concentrations were tightly correlated in senesced leaves but not in mature leaves.
\nTaken together, the results suggest plants in this ecosystem are much more responsive to changing N cycles than P cycles and emphasize the significance of nutrient resorption as an important plant control over the stoichiometric coupling of N and P under nutrient enriched conditions.
\nThis report contains reduced 40Ar/39Ar geochronological data from 63 hydrothermal white mica samples separated from orogenic gold-rich quartz veins in the Laramide Caborca orogenic gold belt (COGB) of northwestern Sonora, Mexico. The main objective of this report is to present the sample locations, 40Ar/39Ar experimental methodology, and 40Ar/39Ar isotopic data. We include age spectra and inverse-isotope correlation diagrams for all white mica samples. The age spectra are separated into three groups based on the type of age used for geologic interpretation, including plateau ages (group 1), isochron ages (group 2), and average or single-step heating ages (group 3). The resulting age spectra are used to help establish the age of mineralization for the COGB.
\nThe COGB is approximately 600 kilometers long and 60 to 80 km wide, trends northwest, and extends from west-central Sonora to southern Arizona and California. The COGB contains mineralized gold-rich quartz veins that contain free gold associated with white mica (sericite), carbonate minerals (calcite and ankerite), and sulfides such as pyrite and galena. Limited geochronologic studies exist for parts of the COGB, and previous work was concentrated in mining districts. These previous studies recorded mineralization ages of approximately 70 to 40 Ma. Therefore, some workers proposed that the orogenic gold mineralization in the region occurred during a single pulse that was associated with the Laramide Orogeny that took place during the Cretaceous to early Eocene in the western margin of North America. However, the geochronologic dataset was quite limited, making any regional interpretations tenuous. Accordingly, one of the objectives of this geochronology study was to get a better representative sampling of the COGB in order to obtain a more complete record of the mineralization history. The 63 samples presented in this work are broadly distributed throughout the area of the COGB and allow us to better test the hypothesis that mineralization occurred in a single pulse.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161008","usgsCitation":"Izaguirre, Aldo, Kunk, M.J., Iriondo, Alexander, McAleer, Ryan, Caballero-Martínez, J.A, and Espinosa Arámburu, Enrique, 2016, The Laramide Caborca orogenic gold belt of northwestern Sonora, Mexico; white mica 40Ar/39Ar geochronology from gold-rich quartz veins: U.S. Geological Survey Open-File Report 2016–1008, 30 p., https://dx.doi.org/10.3133/ofr20161008.","productDescription":"Report: iv, 30 p.; 4 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069619","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":316618,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1008/ofr20161008_table4.xls","text":"Table 4 - 40Ar/39Ar step-heating data and average or single step ages determined from white micas of gold-rich quartz veins","size":"165 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1008","linkHelpText":"of the Caborca orogenic gold belt (COGB), northwestern Sonora, Mexico"},{"id":316609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1008/coverthb.jpg"},{"id":316610,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1008/ofr20161008.pdf","text":"Report","size":"1.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1008"},{"id":316615,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1008/ofr20161008_table1.xls","text":"Table 1 - Summary of 63 40Ar/39Ar ages determined from white micas of gold-rich quartz veins","size":"718 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1008","linkHelpText":"of the Caborca orogenic gold belt (COGB), northwestern Sonora, Mexico"},{"id":316616,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1008/ofr20161008_table2.xls","text":"Table 2 - 40Ar/39Ar step-heating data and plateau ages determined from white micas of gold-rich quartz veins","size":"106 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1008","linkHelpText":"of the Caborca orogenic gold belt (COGB), northwestern Sonora, Mexico"},{"id":316617,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1008/ofr20161008_table3.xls","text":"Table 3 - 40Ar/39Ar step-heating data and isochron ages determined from white micas of gold-rich quartz veins","size":"95 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1008","linkHelpText":"of the Caborca orogenic gold belt (COGB), northwestern Sonora, Mexico."}],"country":"Mexico, United States","state":"Arizona, California, Sonora","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.82910156249999,\n 34.125447565116126\n ],\n [\n -114.36767578124999,\n 34.052659421375964\n ],\n [\n -113.48876953125,\n 33.687781758439364\n ],\n [\n -112.236328125,\n 32.41706632846282\n ],\n [\n -111.70898437499999,\n 31.653381399664\n ],\n [\n -111.3134765625,\n 31.071755902820108\n ],\n [\n -110.32470703125,\n 30.259067203213018\n ],\n [\n -110.12695312499999,\n 29.76437737516313\n ],\n [\n -110.01708984374999,\n 28.94086176940554\n ],\n [\n -109.97314453125,\n 28.478348692223165\n ],\n [\n -109.97314453125,\n 28.09136628140692\n ],\n [\n -110.19287109375,\n 27.877928333679495\n ],\n [\n -110.654296875,\n 28.05259082333986\n ],\n [\n -110.9619140625,\n 28.130127737874005\n ],\n [\n -111.533203125,\n 28.536274512989916\n ],\n [\n -112.06054687499999,\n 28.863918426224537\n ],\n [\n -112.54394531249999,\n 29.49698759653577\n ],\n [\n -113.09326171875,\n 30.486550842588485\n ],\n [\n -113.7744140625,\n 31.16580958786196\n ],\n [\n -114.60937499999999,\n 31.50362930577303\n ],\n [\n -115.224609375,\n 32.39851580247402\n ],\n [\n -115.3564453125,\n 33.90689555128866\n ],\n [\n -114.82910156249999,\n 34.125447565116126\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
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926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egpsc
Vertebrate corpse decomposition provides an important stage in nutrient cycling in most terrestrial habitats, yet microbially mediated processes are poorly understood. Here we combine deep microbial community characterization, community-level metabolic reconstruction, and soil biogeochemical assessment to understand the principles governing microbial community assembly during decomposition of mouse and human corpses on different soil substrates. We find a suite of bacterial and fungal groups that contribute to nitrogen cycling and a reproducible network of decomposers that emerge on predictable time scales. Our results show that this decomposer community is derived primarily from bulk soil, but key decomposers are ubiquitous in low abundance. Soil type was not a dominant factor driving community development, and the process of decomposition is sufficiently reproducible to offer new opportunities for forensic investigations.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aad2646","usgsCitation":"Metcalf, J., Xu, Z.Z., Weiss, S., Lax, S., Van Treuren, W., Hyde, E.R., Song, J., Amir, A., Larsen, P., Sangwan, N., Haarmann, D., Humphrey, G.C., Ackermann, G., Thompson, L.R., Lauber, C., Bibat, A., Nicholas, C., Gebert, M.J., Petrosino, J.F., Reed, S.C., Gilbert, J.A., Lynne, A., Bucheli, S.R., Carter, D., and Knight, R., 2016, Microbial community assembly and metabolic function during mammalian corpse decomposition: Science, v. 351, no. 6269, p. 158-162, https://doi.org/10.1126/science.aad2646.","productDescription":"5 p.","startPage":"158","endPage":"162","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068595","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":317998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"351","issue":"6269","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf022ce4b06458514b30fc","contributors":{"authors":[{"text":"Metcalf, Jessica L","contributorId":166787,"corporation":false,"usgs":false,"family":"Metcalf","given":"Jessica L","affiliations":[{"id":24516,"text":"Department of Ecology and Evolutionary Biology, Univesity of Colorado, Boulder; 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Increases in the time active in water could result in negative energy balance, precluding females from sustaining lactation, which could impact population demographics. Little is known about lactation costs in walruses. We examined the energetics of 0–2-yr-old walrus calves by using Bayesian hierarchical models based on longitudinal husbandry records of growth (n = 6 females and 7 males) and caloric intake (n = 5 females and 6 males) as a proxy for maternal lactation costs. Males and females had similar growth patterns; mean mass increased from 68 kg at birth to 301 kg by 2 yr. Females had a 2,000 kcal kg−1 higher mass storage (growth) cost than males; females typically synthesize and deposit greater amounts of adipose, which is more energy dense than lean tissue. In contrast, males had higher metabolic (basal and activity) costs, ranging from 600 to 1,800 kcal d−1 greater than similarly sized females; males are typically leaner, and muscle is more metabolically active than adipose. Yet total daily energy requirements (storage plus metabolic components) were similar across sexes, summing to approximately 190,000 kcal over the first month postpartum. Based on these estimates and assuming that 8,103 kcal is recovered from 1 kg of mass loss in adult female walruses, suckling calves could deplete 23 kg of their mother’s body mass over the first month after parturition if none of the lactation costs is met through ingested prey.
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","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2015.10.007","usgsCitation":"Fleming, S.W., Hood, E., Dalhke, H., and O’Neel, S., 2016, Seasonal flows of international British Columbia-Alaska rivers: The nonlinear influence of ocean-atmosphere circulation patterns: Advances in Water Resources, v. 87, p. 42-55, https://doi.org/10.1016/j.advwatres.2015.10.007.","productDescription":"14 p.","startPage":"42","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068958","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":471241,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/7pg1n1rj","text":"External Repository"},{"id":317991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140,\n 55\n ],\n [\n -140,\n 60\n ],\n [\n -125,\n 60\n ],\n [\n -125,\n 55\n ],\n [\n -140,\n 55\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf0231e4b06458514b310f","contributors":{"authors":[{"text":"Fleming, Sean W.","contributorId":140495,"corporation":false,"usgs":false,"family":"Fleming","given":"Sean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":619941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":619942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalhke, Helen","contributorId":166741,"corporation":false,"usgs":false,"family":"Dalhke","given":"Helen","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":619943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619940,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70162708,"text":"tm6A54 - 2016 - T-COMP — A suite of programs for extracting transmissivity from MODFLOW models","interactions":[],"lastModifiedDate":"2022-04-26T18:48:27.528677","indexId":"tm6A54","displayToPublicDate":"2016-02-12T13:00:00","publicationYear":"2016","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":"6-A54","title":"T-COMP — A suite of programs for extracting transmissivity from MODFLOW models","docAbstract":"Simulated transmissivities are constrained poorly by assigning permissible ranges of hydraulic conductivities from aquifer-test results to hydrogeologic units in groundwater-flow models. These wide ranges are derived from interpretations of many aquifer tests that are categorized by hydrogeologic unit. Uncertainty is added where contributing thicknesses differ between field estimates and numerical models. Wide ranges of hydraulic conductivities and discordant thicknesses result in simulated transmissivities that frequently are much greater than aquifer-test results. Multiple orders of magnitude differences frequently occur between simulated and observed transmissivities where observed transmissivities are less than 1,000 feet squared per day.
Transmissivity observations from individual aquifer tests can constrain model calibration as head and flow observations do. This approach is superior to diluting aquifer-test results into generalized ranges of hydraulic conductivities. Observed and simulated transmissivities can be compared directly with T-COMP, a suite of three FORTRAN programs. Transmissivity observations require that simulated hydraulic conductivities and thicknesses in the volume investigated by an aquifer test be extracted and integrated into a simulated transmissivity. Transmissivities of MODFLOW model cells are sampled within the volume affected by an aquifer test as defined by a well-specific, radial-flow model of each aquifer test. Sampled transmissivities of model cells are averaged within a layer and summed across layers. Accuracy of the approach was tested with hypothetical, multiple-aquifer models where specified transmissivities ranged between 250 and 20,000 feet squared per day. More than 90 percent of simulated transmissivities were within a factor of 2 of specified transmissivities.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6: Modeling Techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A54","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office, Office of Environmental Management, under Interagency Agreement, DE-NA0001654/DE-AI52-12NA30865","usgsCitation":"Halford, K.J., 2016, T-COMP — A suite of programs for extracting transmissivity from MODFLOW models: U.S. Geological Survey Techniques and Methods, book 6, chap. A54, 17 p., https://dx.doi.org/10.3133/tm6A54.","productDescription":"Report: vii, 17 p.; 5 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071244","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":399691,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103962.htm"},{"id":317977,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6a54_appendixe_Verification.zip","text":"Appendix E","description":"Appendix E","linkHelpText":"Results from T-COMP Verification"},{"id":317976,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6a54_appendixd_Regional-SiteCOMPARE.zip","text":"Appendix D","description":"Appendix D","linkHelpText":"T-COMP_Compare–A Workbook for Comparing Simulated Transmissivities Sampled with T-COMP to Specified Values"},{"id":317975,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6a54_appendixc_Codes_T-COMP.v1.00.zip","text":"Appendix C","description":"Appendix C","linkHelpText":"Source Codes for T-COMP Programs"},{"id":317974,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6a54_appendixb_T-COMP.v.1.00.zip","text":"Appendix B","description":"Appendix B","linkHelpText":"T-COMP Programs, Pre-Processing Tools, and an Example"},{"id":317973,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6a54_appendixa_AquiferTests+PDFs.zip","text":"Appendix A","description":"Appendix A","linkHelpText":"Aquifer Tests and Comparisons between Probability Distributions of Transmissivities from Hydraulic-Conductivity Limits and Aquifer-Test Results"},{"id":317978,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a54/coverthb.jpg"},{"id":317972,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a54/tm6A54.pdf","text":"Report","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM6-A54 Report PDF"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6667,\n 36.6417\n ],\n [\n -115.9333,\n 36.6417\n ],\n [\n -115.9333,\n 37.3667\n ],\n [\n -116.6667,\n 37.3667\n ],\n [\n -116.6667,\n 36.6417\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"This report is Chapter 54 of Section A: Groundwater in Book 6: Modeling Techniques.","contact":"Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/water/
Shallow cores collected in the 1980s on the Chukchi Shelf of western Arctic Alaska sampled pre-Cenozoic strata whose presence, age, and character are poorly known across the region. Five cores from the Herald Arch foreland contain Cenomanian to Coniacian strata, as documented by biostratigraphy, geochronology, and thermochronology. Shallow seismic reflection data collected during the 1970s and 1980s show that these Upper Cretaceous strata are truncated near the seafloor by subtle angular unconformities, including the Paleogene mid-Brookian unconformity in one core and the Pliocene-Pleistocene unconformity in four cores. Sedimentary structures and lithofacies suggest that Upper Cretaceous strata were deposited in a low accommodation setting that ranged from low-lying coastal plain (nonmarine) to muddy, shallow-marine environments near shore. These observations, together with sparse evidence from the adjacent western North Slope, suggest that Upper Cretaceous strata likely were deposited across all of Arctic Alaska.
A sixth core from the Herald Arch contains lower Toarcian marine strata, indicated by biostratigraphy, truncated by a Neogene or younger unconformity. These Lower Jurassic strata evidently were deposited south of the arch, buried structurally to high levels of thermal maturity during the Early Cretaceous, and uplifted on the Herald thrust-fault system during the mid to Late Cretaceous. These interpretations are based on regional stratigraphy and apatite fission-track data reported in a complementary report and are corroborated by the presence of recycled palynomorphs of Early Jurassic age and high thermal maturity found in Upper Cretaceous strata in two of the foreland cores. This dataset provides evidence that uplift and exhumation of the Herald thrust belt provided sediment to the foreland during the Late Cretaceous.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814C","usgsCitation":"Houseknecht, D.W., Craddock, W.H., and Lease, R.O., 2016, Upper Cretaceous and Lower Jurassic strata in shallow cores on the Chukchi Shelf, Arctic Alaska, in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–C, 37 p., https://dx.doi.org/10.3133/pp1814C.","productDescription":"Report: v, 37 p.; 10 Figures","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068732","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":317938,"rank":2,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig4.pdf","text":"Figure 4 - High Resolution","size":"170 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 4","linkHelpText":"Graphic section and composite photograph of U.S. Geological Survey vibracore C62, Chukchi Shelf, Alaska"},{"id":317937,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814-C PDF"},{"id":317939,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig6.pdf","text":"Figure 6 - High Resolution","size":"170 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 6","linkHelpText":"Graphic section and composite photograph of U.S. Geological Survey vibracore C67, Chukchi Shelf, Alaska"},{"id":317943,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig16A.pdf","text":"Figure 16A - High Resolution","size":"468 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 16A","linkHelpText":"Composite photographs of U.S. Geological Survey rotary core C3, Chukchi Shelf, Alaska"},{"id":317940,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig8.pdf","text":"Figure 8 - High Resolution","size":"390 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 8","linkHelpText":"Graphic section and composite photograph of U.S. Geological Survey vibracore C65, Chukchi Shelf, Alaska"},{"id":317941,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig11.pdf","text":"Figure 11 - High Resolution","size":"431 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 11","linkHelpText":"Graphic section and composite photograph of U.S. Geological Survey vibracore C53, Chukchi Shelf, Alaska"},{"id":317942,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig13.pdf","text":"Figure 13 - High Resolution","size":"23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 13","linkHelpText":"Composite photograph of U.S. Geological Survey cores from the Chukchi Shelf, Alaska, showing examples of damage induced by rotary coring"},{"id":317944,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig16B.pdf","text":"Figure 16B - High Resolution","size":"456 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 16B","linkHelpText":"Composite photographs of U.S. Geological Survey rotary core C3, Chukchi Shelf, Alaska"},{"id":317945,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig16C.pdf","text":"Figure 16C - High Resolution","size":"476 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 16C","linkHelpText":"Composite photographs of U.S. Geological Survey rotary core C3, Chukchi Shelf, Alaska"},{"id":317946,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig16D.pdf","text":"Figure 16D - High Resolution","size":"486 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 16D","linkHelpText":"Composite photographs of U.S. Geological Survey rotary core C3, Chukchi Shelf, Alaska"},{"id":317947,"rank":11,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1814/c/pp1814C_fig20.pdf","text":"Figure 20 - High Resolution","size":"342 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 20","linkHelpText":"Photographs of U.S. Geological Survey rotary core C7, Chukchi Shelf, Alaska"},{"id":317948,"rank":12,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/c/coverthb.jpg"}],"country":"Russia, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.326171875,\n 64.05297838071347\n ],\n [\n -147.7880859375,\n 73.41588526207096\n ],\n [\n -152.9736328125,\n 73.94679115710252\n ],\n [\n -159.03808593749997,\n 74.3192352189468\n ],\n [\n -166.11328125,\n 74.35482803013984\n ],\n [\n -173.32031249999997,\n 74.28356347036141\n ],\n [\n -180.0439453125,\n 73.86150600047368\n ],\n [\n -184.3505859375,\n 73.41588526207096\n ],\n [\n -187.8662109375,\n 72.97118902284586\n ],\n [\n -185.361328125,\n 69.7333343903359\n ],\n [\n -182.1533203125,\n 66.8265202749748\n ],\n [\n -180.3955078125,\n 64.99793920061401\n ],\n [\n -178.59375,\n 63.48976680530999\n ],\n [\n -170.90332031249997,\n 64.03374392176401\n ],\n [\n -165.9814453125,\n 64.07219957867284\n ],\n [\n -161.279296875,\n 64.30182213914463\n ],\n [\n -154.6435546875,\n 64.24459476798192\n ],\n [\n -149.326171875,\n 64.05297838071347\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center
A lack of nutritious food during the first year of life is a hypothesized factor that may limit survival of endangered pallid sturgeonScaphirhynchus albus in the lower Missouri River (LMOR). Unfortunately, information for age-0 pallid sturgeon diets remains limited, but diet analyses for age-0 Scaphirhynchus spp. (sturgeon hereafter) have occurred. Little information, however, exists on age-0 sturgeon diets in the LMOR; thus, our primary objective was to document age-0 sturgeon diets in this system. We examined guts contents from 30 individuals, which were genetically identified as shovelnose sturgeon Scaphirhynchus platorynchus, and three stomachs were empty. The remaining age-0 shovelnose sturgeon consumed chironomid larvae almost exclusively (>98% of prey items consumed). Our results were similar to studies conducted in other systems, and it appears unlikely that a lack of nutritious food was a major factor affecting the individuals captured during this study. This effort provides important information to help guide ongoing adaptive management efforts in the LMOR.
","language":"English","publisher":"Wiley Online","doi":"10.1002/rra.3003","usgsCitation":"Gosch, N., Miller, M., Gemeinhardt, T., Starks, T.A., Civiello, A.P., Long, J.M., and Bonneau, J., 2016, Age-0 Shovelnose Sturgeon prey consumption in the Lower Missouri River: River Research and Applications, v. 32, no. 8, p. 1819-1823, https://doi.org/10.1002/rra.3003.","productDescription":"5 p.","startPage":"1819","endPage":"1823","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064837","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3003","text":"Publisher Index Page"},{"id":323261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.72412109375,\n 38.35888785866677\n ],\n [\n -90.263671875,\n 38.35888785866677\n ],\n [\n -90.263671875,\n 39.470125122358176\n ],\n [\n -94.72412109375,\n 39.470125122358176\n ],\n [\n -94.72412109375,\n 38.35888785866677\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-12","publicationStatus":"PW","scienceBaseUri":"575941b8e4b04f417c25678d","contributors":{"authors":[{"text":"Gosch, N.J.C.","contributorId":66513,"corporation":false,"usgs":true,"family":"Gosch","given":"N.J.C.","email":"","affiliations":[],"preferred":false,"id":637854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, M.L.","contributorId":244627,"corporation":false,"usgs":false,"family":"Miller","given":"M.L.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":637855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gemeinhardt, T. R.","contributorId":171492,"corporation":false,"usgs":false,"family":"Gemeinhardt","given":"T. R.","affiliations":[],"preferred":false,"id":637856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Civiello, A. P.","contributorId":171493,"corporation":false,"usgs":false,"family":"Civiello","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonneau, J. L.","contributorId":171494,"corporation":false,"usgs":false,"family":"Bonneau","given":"J. L.","affiliations":[],"preferred":false,"id":637859,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70161873,"text":"sir20165001 - 2016 - Modified method for estimating petroleum source-rock potential using wireline logs, with application to the Kingak Shale, Alaska North Slope","interactions":[],"lastModifiedDate":"2016-02-15T11:17:38","indexId":"sir20165001","displayToPublicDate":"2016-02-11T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5001","title":"Modified method for estimating petroleum source-rock potential using wireline logs, with application to the Kingak Shale, Alaska North Slope","docAbstract":"In 2012, the U.S. Geological Survey completed an assessment of undiscovered, technically recoverable oil and gas resources in three source rocks of the Alaska North Slope, including the lower part of the Jurassic to Lower Cretaceous Kingak Shale. In order to identify organic shale potential in the absence of a robust geochemical dataset from the lower Kingak Shale, we introduce two quantitative parameters, $\\Delta DT_\\bar{x}$ and $\\Delta DT_z$, estimated from wireline logs from exploration wells and based in part on the commonly used delta-log resistivity ($\\Delta \\text{ }log\\text{ }R$) technique. Calculation of $\\Delta DT_\\bar{x}$ and $\\Delta DT_z$ is intended to produce objective parameters that may be proportional to the quality and volume, respectively, of potential source rocks penetrated by a well and can be used as mapping parameters to convey the spatial distribution of source-rock potential. Both the $\\Delta DT_\\bar{x}$ and $\\Delta DT_z$ mapping parameters show increased source-rock potential from north to south across the North Slope, with the largest values at the toe of clinoforms in the lower Kingak Shale. Because thermal maturity is not considered in the calculation of $\\Delta DT_\\bar{x}$ or $\\Delta DT_z$, total organic carbon values for individual wells cannot be calculated on the basis of $\\Delta DT_\\bar{x}$ or $\\Delta DT_z$ alone. Therefore, the $\\Delta DT_\\bar{x}$ and $\\Delta DT_z$ mapping parameters should be viewed as first-step reconnaissance tools for identifying source-rock potential.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165001","usgsCitation":"Rouse, W.A., and Houseknecht, D.W., 2016, Modified method for estimating petroleum source-rock potential using wireline logs, with application to the Kingak Shale, Alaska North Slope: U.S. Geological Survey Scientific Investigations Report 2016–5001, 40 p., https://dx.doi.org/10.3133/sir20165001.","productDescription":"v, 40 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061129","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":316733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5001/coverthb.jpg"},{"id":316734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5001/sir20165001.pdf","text":"Report","size":"5.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5001"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.81640625,\n 66.51326044311188\n ],\n [\n -166.81640625,\n 71.35706654962706\n ],\n [\n -140.80078125,\n 71.35706654962706\n ],\n [\n -140.80078125,\n 66.51326044311188\n ],\n [\n -166.81640625,\n 66.51326044311188\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Energy Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
National Center, MS 913
Reston, VA 20192
703–648–6470
http://energy.usgs.gov/
The model presented in this report is a spreadsheet-based model using Visual Basic for Applications within Microsoft Excel (http://dx.doi.org/10.5066/F7057D0Z) prepared in cooperation with the U.S. Army Corps of Engineers and U.S. Fish and Wildlife Service. It uses the same model structure and, initially, parameters as used by Wildhaber and others (2015) for pallid sturgeon. The difference between the model structure used for this report and that used by Wildhaber and others (2015) is that variance is not partitioned. For the model of this report, all variance is applied at the iteration and time-step levels of the model. Wildhaber and others (2015) partition variance into parameter variance (uncertainty about the value of a parameter itself) applied at the iteration level and temporal variance (uncertainty caused by random environmental fluctuations with time) applied at the time-step level. They included implicit individual variance (uncertainty caused by differences between individuals) within the time-step level.
The interface developed for the model of this report is designed to allow the user the flexibility to change population model structure and parameter values and uncertainty separately for every component of the model. This flexibility makes the modeling tool potentially applicable to any fish species; however, the flexibility inherent in this modeling tool makes it possible for the user to obtain spurious outputs. The value and reliability of the model outputs are only as good as the model inputs. Using this modeling tool with improper or inaccurate parameter values, or for species for which the structure of the model is inappropriate, could lead to untenable management decisions. By facilitating fish population modeling, this modeling tool allows the user to evaluate a range of management options and implications. The goal of this modeling tool is to be a user-friendly modeling tool for developing fish population models useful to natural resource managers to inform their decision-making processes; however, as with all population models, caution is needed, and a full understanding of the limitations of a model and the veracity of user-supplied parameters should always be considered when using such model output in the management of any species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161009","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and U.S. Fish and Wildlife Service","usgsCitation":"Moran, E.H., Wildhaber, M.L., Green, N.S., and Albers, J.L., 2016, Visual basic, Excel-based fish population modeling tool—The pallid sturgeon example: U.S. Geological Survey Open-File Report 2016–1009, 20 p., https://dx.doi.org/10.3133/ofr20161009.","productDescription":"vi, 20 p.","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066994","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":316871,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1009/coverthb.jpg"},{"id":316872,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1009/ofr20161009.pdf","text":"Report","size":"17.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1009"},{"id":316917,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://dx.doi.org/10.5066/F7057D0Z","text":"http://dx.doi.org/10.5066/F7057D0Z","description":"Microsoft Visual Basic for Applications"}],"contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201-8709
The cold and clear water conditions present below many large dams create ideal conditions for the development of economically important salmonid fisheries. Many of these tailwater fisheries have experienced declines in the abundance and condition of large trout species, yet the causes of these declines remain uncertain. Here, we develop, assess, and apply a drift-foraging bioenergetics model to identify the factors limiting rainbow trout (Oncorhynchus mykiss) growth in a large tailwater. We explored the relative importance of temperature, prey quantity, and prey size by constructing scenarios where these variables, both singly and in combination, were altered. Predicted growth matched empirical mass-at-age estimates, particularly for younger ages, demonstrating that the model accurately describes how current temperature and prey conditions interact to determine rainbow trout growth. Modeling scenarios that artificially inflated prey size and abundance demonstrate that rainbow trout growth is limited by the scarcity of large prey items and overall prey availability. For example, shifting 10% of the prey biomass to the 13 mm (large) length class, without increasing overall prey biomass, increased lifetime maximum mass of rainbow trout by 88%. Additionally, warmer temperatures resulted in lower predicted growth at current and lower levels of prey availability; however, growth was similar across all temperatures at higher levels of prey availability. Climate change will likely alter flow and temperature regimes in large rivers with corresponding changes to invertebrate prey resources used by fish. Broader application of drift-foraging bioenergetics models to build a mechanistic understanding of how changes to habitat conditions and prey resources affect growth of salmonids will benefit management of tailwater fisheries.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0268","usgsCitation":"Dodrill, M.J., Yackulic, C.B., Kennedy, T.A., and Haye, J.W., 2016, Prey size and availability limits maximum size of rainbow trout in a large tailwater: insights from a drift-foraging bioenergetics model: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 5, p. 759-772, https://doi.org/10.1139/cjfas-2015-0268.","productDescription":"14 p.","startPage":"759","endPage":"772","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065511","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":317928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Lees Ferry, Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.62452697753906,\n 36.82632511529419\n ],\n [\n -111.62452697753906,\n 36.86204269508728\n ],\n [\n -111.5939712524414,\n 36.86204269508728\n ],\n [\n -111.5939712524414,\n 36.82632511529419\n ],\n [\n -111.62452697753906,\n 36.82632511529419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bdb0b1e4b06458514aeeae","contributors":{"authors":[{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":619783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":619784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":166704,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":619785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haye, John W","contributorId":166705,"corporation":false,"usgs":false,"family":"Haye","given":"John","email":"","middleInitial":"W","affiliations":[{"id":24493,"text":"Cawthron Institute, Nelson, New Zealand","active":true,"usgs":false}],"preferred":false,"id":619786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168375,"text":"70168375 - 2016 - Identification of lake trout Salvelinus namaycush spawning habitat in northern Lake Huron using high-resolution satellite imagery","interactions":[],"lastModifiedDate":"2016-02-11T09:14:43","indexId":"70168375","displayToPublicDate":"2016-02-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Identification of lake trout Salvelinus namaycush spawning habitat in northern Lake Huron using high-resolution satellite imagery","docAbstract":"The availability and quality of spawning habitat may limit lake trout recovery in the Great Lakes, but little is known about the location and characteristics of current spawning habitats. Current methods used to identify lake trout spawning locations are time- and labor-intensive and spatially limited. Due to the observation that some lake trout spawning sites are relatively clean of overlaying algae compared to areas not used for spawning, we suspected that spawning sites could be identified using satellite imagery. Satellite imagery collected just before and after the spawning season in 2013 was used to assess whether lake trout spawning habitat could be identified based on its spectral characteristics. Results indicated that Pléiades high-resolution multispectral satellite imagery can be successfully used to estimate algal coverage of substrates and temporal changes in algal coverage, and that models developed from processed imagery can be used to identify potential lake trout spawning sites based on comparison of sites where lake trout eggs were and were not observed after spawning. Satellite imagery is a potential new tool for identifying lake trout spawning habitat at large scales in shallow nearshore areas of the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.11.011","usgsCitation":"Grimm, A.G., Brooks, C., Binder, T., Riley, S.C., Farha, S., Shuchman, R.A., and Krueger, C., 2016, Identification of lake trout Salvelinus namaycush spawning habitat in northern Lake Huron using high-resolution satellite imagery: Journal of Great Lakes Research, v. 42, no. 1, p. 127-135, https://doi.org/10.1016/j.jglr.2015.11.011.","productDescription":"9 p.","startPage":"127","endPage":"135","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069823","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":317927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.2486572265625,\n 45.805828539928356\n ],\n [\n -84.2486572265625,\n 46.31658418182218\n ],\n [\n -83.2379150390625,\n 46.31658418182218\n ],\n [\n -83.2379150390625,\n 45.805828539928356\n ],\n [\n -84.2486572265625,\n 45.805828539928356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bdb0ace4b06458514aeeaa","contributors":{"authors":[{"text":"Grimm, Amanda G.","contributorId":150482,"corporation":false,"usgs":false,"family":"Grimm","given":"Amanda","email":"","middleInitial":"G.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":619829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Colin N.","contributorId":103961,"corporation":false,"usgs":true,"family":"Brooks","given":"Colin N.","affiliations":[],"preferred":false,"id":619830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binder, Thomas R.","contributorId":21093,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas R.","affiliations":[],"preferred":false,"id":619831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":619828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":619832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shuchman, Robert A.","contributorId":150483,"corporation":false,"usgs":false,"family":"Shuchman","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":619833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":619834,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168327,"text":"70168327 - 2016 - Effects of permafrost aggradation on peat properties as determined from a pan-Arctic synthesis of plant macrofossils","interactions":[],"lastModifiedDate":"2020-03-26T12:55:24","indexId":"70168327","displayToPublicDate":"2016-02-10T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of permafrost aggradation on peat properties as determined from a pan-Arctic synthesis of plant macrofossils","docAbstract":"Permafrost dynamics play an important role in high-latitude peatland carbon balance and are key to understanding the future response of soil carbon stocks. Permafrost aggradation can control the magnitude of the carbon feedback in peatlands through effects on peat properties. We compiled peatland plant macrofossil records for the northern permafrost zone (515 cores from 280 sites) and classified samples by vegetation type and environmental class (fen, bog, tundra and boreal permafrost, and thawed permafrost). We examined differences in peat properties (bulk density, carbon (C), nitrogen (N) and organic matter content, and C/N ratio) and C accumulation rates among vegetation types and environmental classes. Consequences of permafrost aggradation differed between boreal and tundra biomes, including differences in vegetation composition, C/N ratios, and N content. The vegetation composition of tundra permafrost peatlands was similar to permafrost-free fens, while boreal permafrost peatlands more closely resembled permafrost-free bogs. Nitrogen content in boreal permafrost and thawed permafrost peatlands was significantly lower than in permafrost-free bogs despite similar vegetation types (0.9% versus 1.5% N). Median long-term C accumulation rates were higher in fens (23 g C m−2 yr−1) than in permafrost-free bogs (18 g C m−2 yr−1) and were lowest in boreal permafrost peatlands (14 g C m−2 yr−1). The plant macrofossil record demonstrated transitions from fens to bogs to permafrost peatlands, bogs to fens, permafrost aggradation within fens, and permafrost thaw and reaggradation. Using data synthesis, we have identified predominant peatland successional pathways, changes in vegetation type, peat properties, and C accumulation rates associated with permafrost aggradation.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JG003061","usgsCitation":"Treat, C.C., Jones, M.C., Camill, P., Gallego-Sala, A., Garneau, M., Harden, J.W., Hugelius, G., Klein, E., Kokfelt, U., Kuhry, P., Loisel, J., Mathijssen, J., O'Donnell, J., Oksanen, P., Ronkainen, T., Sannel, A.B., Talbot, J.J., Tarnocal, C., and Valiranta, M., 2016, Effects of permafrost aggradation on peat properties as determined from a pan-Arctic synthesis of plant macrofossils: Journal of Geophysical Research: Biogeosciences, v. 121, no. 1, p. 78-94, https://doi.org/10.1002/2015JG003061.","productDescription":"17 p.","startPage":"78","endPage":"94","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068874","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":471245,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":619693,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oksanen, P.O.","contributorId":166675,"corporation":false,"usgs":false,"family":"Oksanen","given":"P.O.","email":"","affiliations":[{"id":24490,"text":"Kaskinen, Finland","active":true,"usgs":false}],"preferred":false,"id":619694,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ronkainen, T.M.","contributorId":166676,"corporation":false,"usgs":false,"family":"Ronkainen","given":"T.M.","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":619695,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sannel, A. B. K.","contributorId":38450,"corporation":false,"usgs":false,"family":"Sannel","given":"A.","email":"","middleInitial":"B. K.","affiliations":[],"preferred":false,"id":619696,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Talbot, J. J.","contributorId":21045,"corporation":false,"usgs":false,"family":"Talbot","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":619697,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tarnocal, C.M.","contributorId":166677,"corporation":false,"usgs":false,"family":"Tarnocal","given":"C.M.","email":"","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":619698,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Valiranta, M.","contributorId":166678,"corporation":false,"usgs":false,"family":"Valiranta","given":"M.","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":619699,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70168332,"text":"70168332 - 2016 - Extensive dispersal of Roanoke logperch (Percina rex) inferred from genetic marker data","interactions":[],"lastModifiedDate":"2016-02-10T11:06:44","indexId":"70168332","displayToPublicDate":"2016-02-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Extensive dispersal of Roanoke logperch (Percina rex) inferred from genetic marker data","docAbstract":"The dispersal ecology of most stream fishes is poorly characterised, complicating conservation efforts for these species. We used microsatellite DNA marker data to characterise dispersal patterns and effective population size (Ne) for a population of Roanoke logperchPercina rex, an endangered darter (Percidae). Juveniles and candidate parents were sampled for 2 years at sites throughout the Roanoke River watershed. Dispersal was inferred via genetic assignment tests (ATs), pedigree reconstruction (PR) and estimation of lifetime dispersal distance under a genetic isolation-by-distance model. Estimates of Ne varied from 105 to 1218 individuals, depending on the estimation method. Based on PR, polygamy was frequent in parents of both sexes, with individuals spawning with an average of 2.4 mates. The sample contained 61 half-sibling pairs, but only one parent–offspring pair and no full-sib pairs, which limited our ability to discriminate natal dispersal of juveniles from breeding dispersal of their parents between spawning events. Nonetheless, all methods indicated extensive dispersal. The AT indicated unrestricted dispersal among sites ≤15 km apart, while siblings inferred by the PR were captured an average of 14 km and up to 55 km apart. Model-based estimates of median lifetime dispersal distance (6–24 km, depending on assumptions) bracketed AT and PR estimates, indicating that widely dispersed individuals do, on average, contribute to gene flow. Extensive dispersal of P. rex suggests that darters and other small benthic stream fishes may be unexpectedly mobile. Monitoring and management activities for such populations should encompass entire watersheds to fully capture population dynamics.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/eff.12177","usgsCitation":"Roberts, J.H., Angermeier, P.L., and Hallerman, E.M., 2016, Extensive dispersal of Roanoke logperch (Percina rex) inferred from genetic marker data: Ecology of Freshwater Fish, v. 25, no. 1, p. 1-16, https://doi.org/10.1111/eff.12177.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037298","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":317905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-25","publicationStatus":"PW","scienceBaseUri":"56bc5f30e4b08d617f660010","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":619737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallerman, Eric M.","contributorId":40501,"corporation":false,"usgs":true,"family":"Hallerman","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":619738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168326,"text":"70168326 - 2016 - The global Landsat archive: Status, consolidation, and direction","interactions":[],"lastModifiedDate":"2017-01-17T19:17:44","indexId":"70168326","displayToPublicDate":"2016-02-10T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"The global Landsat archive: Status, consolidation, and direction","docAbstract":"New and previously unimaginable Landsat applications have been fostered by a policy change in 2008 that made analysis-ready Landsat data free and open access. Since 1972, Landsat has been collecting images of the Earth, with the early years of the program constrained by onboard satellite and ground systems, as well as limitations across the range of required computing, networking, and storage capabilities. Rather than robust on-satellite storage for transmission via high bandwidth downlink to a centralized storage and distribution facility as with Landsat-8, a network of receiving stations, one operated by the U.S. government, the other operated by a community of International Cooperators (ICs), were utilized. ICs paid a fee for the right to receive and distribute Landsat data and over time, more Landsat data was held outside the archive of the United State Geological Survey (USGS) than was held inside, much of it unique. Recognizing the critical value of these data, the USGS began a Landsat Global Archive Consolidation (LGAC) initiative in 2010 to bring these data into a single, universally accessible, centralized global archive, housed at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota. The primary LGAC goals are to inventory the data held by ICs, acquire the data, and ingest and apply standard ground station processing to generate an L1T analysis-ready product. As of January 1, 2015 there were 5,532,454 images in the USGS archive. LGAC has contributed approximately 3.2 million of those images, more than doubling the original USGS archive holdings. Moreover, an additional 2.3 million images have been identified to date through the LGAC initiative and are in the process of being added to the archive. The impact of LGAC is significant and, in terms of images in the collection, analogous to that of having had twoadditional Landsat-5 missions. As a result of LGAC, there are regions of the globe that now have markedly improved Landsat data coverage, resulting in an enhanced capacity for mapping, monitoring change, and capturing historic conditions. Although future missions can be planned and implemented, the past cannot be revisited, underscoring the value and enhanced significance of historical Landsat data and the LGAC initiative. The aim of this paper is to report the current status of the global USGS Landsat archive, document the existing and anticipated contributions of LGAC to the archive, and characterize the current acquisitions of Landsat-7 and Landsat-8. Landsat-8 is adding data to the archive at an unprecedented rate as nearly all terrestrial images are now collected. We also offer key lessons learned so far from the LGAC initiative, plus insights regarding other critical elements of the Landsat program looking forward, such as acquisition, continuity, temporal revisit, and the importance of continuing to operationalize the Landsat program.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.11.032","usgsCitation":"Wulder, M.A., White, J.C., Loveland, T., Woodcock, C., Belward, A., Cohen, W.B., Fosnight, E.A., Shaw, J., Masek, J.G., and Roy, D.P., 2016, The global Landsat archive: Status, consolidation, and direction: Remote Sensing of Environment, v. 185, p. 271-283, https://doi.org/10.1016/j.rse.2015.11.032.","productDescription":"13 p.","startPage":"271","endPage":"283","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071343","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2015.11.032","text":"Publisher Index Page"},{"id":317904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc5f35e4b08d617f660026","contributors":{"authors":[{"text":"Wulder, Michael A.","contributorId":103584,"corporation":false,"usgs":true,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Joanne C.","contributorId":63362,"corporation":false,"usgs":true,"family":"White","given":"Joanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":619673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":619671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodcock, Curtis","contributorId":166666,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":619674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belward, Alan","contributorId":166667,"corporation":false,"usgs":false,"family":"Belward","given":"Alan","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":619675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cohen, Warren B.","contributorId":100093,"corporation":false,"usgs":true,"family":"Cohen","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":619676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":619677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, Jerad 0000-0002-8319-2778 jshaw@usgs.gov","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":3564,"corporation":false,"usgs":true,"family":"Shaw","given":"Jerad","email":"jshaw@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":619678,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":619679,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roy, David P.","contributorId":71083,"corporation":false,"usgs":true,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":619680,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70168333,"text":"70168333 - 2016 - American woodcock migratory connectivity as indicated by hydrogen isotopes","interactions":[],"lastModifiedDate":"2016-03-31T13:08:09","indexId":"70168333","displayToPublicDate":"2016-02-10T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"American woodcock migratory connectivity as indicated by hydrogen isotopes","docAbstract":"To identify factors contributing to the long-term decline of American woodcock, a holistic understanding of range-wide population connectivity throughout the annual cycle is needed. We used band recovery data and isotopic composition of primary (P1) and secondary (S13) feathers to estimate population sources and connectivity among natal, early fall, and winter ranges of hunter-harvested juvenile American woodcock. We used P1 feathers from known-origin pre-fledged woodcock (n = 43) to create a hydrogenδ2Hf isoscape by regressing δ2Hf against expected growing-season precipitation (δ2Hp). Modeled δ2Hp values explained 79% of the variance in P1 δ2Hf values, indicating good model fit for estimating woodcock natal origins. However, a poor relationship (r2 = 0.23) between known-origin, S13 δ2Hf values, and expected δ2Hp values precluded assignment of early fall origins. We applied the δ2Hfisoscape to assign natal origins using P1 feathers from 494 hunter-harvested juvenile woodcock in the United States and Canada during 2010–2011 and 2011–2012 hunting seasons. Overall, 64% of all woodcock origins were assigned to the northernmost (>44°N) portion of both the Central and Eastern Management Regions. In the Eastern Region, assignments were more uniformly distributed along the Atlantic coast, whereas in the Central Region, most woodcock were assigned to origins within and north of the Great Lakes region. We compared our origin assignments to spatial coverage of the annual American woodcock Singing Ground Survey (SGS) and evaluated whether the survey effectively encompasses the entire breeding range. When we removed the inadequately surveyed Softwood shield Bird Conservation Region (BCR) from the northern portion of the SGS area, only 48% of juvenile woodcock originated in areas currently surveyed by the SGS. Of the individuals assigned to the northernmost portions of the breeding range, several were harvested in the southern extent of the wintering range. Based upon this latitudinal winter stratification, we examined whether woodcock employed a leapfrog migration strategy. Using δ2Hf values and band-recovery data, we found some support for this migration strategy hypothesis but not as a singular explanation. The large harvest derivation of individuals from the northernmost portions of the breeding range, and the difference in breeding distributions within each Management Region should be considered in future range-wide conservation and harvest management planning for American woodcock.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.1035","usgsCitation":"Sullins, D.S., Conway, W.C., Haukos, D.A., Hobson, K., Wassenaar, L.I., Comer, C.E., and Hung, I., 2016, American woodcock migratory connectivity as indicated by hydrogen isotopes: Journal of Wildlife Management, v. 80, no. 3, p. 510-526, https://doi.org/10.1002/jwmg.1035.","productDescription":"17 p.","startPage":"510","endPage":"526","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064387","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":317903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"56bc5f29e4b08d617f65ffd5","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":619731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":619732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobson, Keith A.","contributorId":47306,"corporation":false,"usgs":true,"family":"Hobson","given":"Keith A.","affiliations":[],"preferred":false,"id":619733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wassenaar, Leonard I","contributorId":150277,"corporation":false,"usgs":false,"family":"Wassenaar","given":"Leonard","email":"","middleInitial":"I","affiliations":[{"id":17954,"text":"International Atomic Energy Agency, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":619734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comer, Christopher E.","contributorId":166690,"corporation":false,"usgs":false,"family":"Comer","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":619735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hung, I-Kuai","contributorId":166691,"corporation":false,"usgs":false,"family":"Hung","given":"I-Kuai","email":"","affiliations":[],"preferred":false,"id":619736,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168337,"text":"70168337 - 2016 - An empirical assessment of which inland floods can be managed","interactions":[],"lastModifiedDate":"2016-02-10T10:24:37","indexId":"70168337","displayToPublicDate":"2016-02-10T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"An empirical assessment of which inland floods can be managed","docAbstract":"Riverine flooding is a significant global issue. Although it is well documented that the influence of landscape structure on floods decreases as flood size increases, studies that define a threshold flood-return period, above which landscape features such as topography, land cover and impoundments can curtail floods, are lacking. Further, the relative influences of natural versus built features on floods is poorly understood. Assumptions about the types of floods that can be managed have considerable implications for the cost-effectiveness of decisions to invest in transforming land cover (e.g., reforestation) and in constructing structures (e.g., storm-water ponds) to control floods. This study defines parameters of floods for which changes in landscape structure can have an impact. We compare nine flood-return periods across 31 watersheds with widely varying topography and land cover in the southeastern United States, using long-term hydrologic records (≥20 years). We also assess the effects of built flow-regulating features (best management practices and artificial water bodies) on selected flood metrics across urban watersheds. We show that landscape features affect magnitude and duration of only those floods with return periods ≤10 years, which suggests that larger floods cannot be managed effectively by manipulating landscape structure. Overall, urban watersheds exhibited larger (270 m3/s) but quicker (0.41 days) floods than non-urban watersheds (50 m3/s and 1.5 days). However, urban watersheds with more flow-regulating features had lower flood magnitudes (154 m3/s), but similar flood durations (0.55 days), compared to urban watersheds with fewer flow-regulating features (360 m3/s and 0.23 days). Our analysis provides insight into the magnitude, duration and count of floods that can be curtailed by landscape structure and its management. Our findings are relevant to other areas with similar climate, topography, and land use, and can help ensure that investments in flood management are made wisely after considering the limitations of landscape features to regulate floods.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2015.10.044","usgsCitation":"Mogollon, B., Frimpong, E.A., Hoegh, A.B., and Angermeier, P.L., 2016, An empirical assessment of which inland floods can be managed: Journal of Environmental Management, v. 167, p. 38-48, https://doi.org/10.1016/j.jenvman.2015.10.044.","productDescription":"11 p.","startPage":"38","endPage":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2015.10.044","text":"Publisher Index Page"},{"id":317898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc5f2ce4b08d617f65ffe0","chorus":{"doi":"10.1016/j.jenvman.2015.10.044","url":"http://dx.doi.org/10.1016/j.jenvman.2015.10.044","publisher":"Elsevier BV","authors":"Mogollón Beatriz, Frimpong Emmanuel A., Hoegh Andrew B., Angermeier Paul L.","journalName":"Journal of Environmental Management","publicationDate":"2/2016"},"contributors":{"authors":[{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":619719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frimpong, Emmanuel A.","contributorId":79372,"corporation":false,"usgs":true,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoegh, Andrew B.","contributorId":166684,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":619721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215608,"text":"70215608 - 2016 - Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","interactions":[],"lastModifiedDate":"2020-10-26T16:20:18.20685","indexId":"70215608","displayToPublicDate":"2016-02-10T11:14:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","title":"Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","docAbstract":"Conditions in Alaska, USA, pose a challenge for monitoring populations of Brachyramphus murrelets using standard survey methods, because of strong winds, 2 sympatric species, short nights, and variable nesting habitat. We tested 3 methods for monitoring Brachyramphus murrelets breeding in the Kodiak Archipelago, Alaska, in 2010–2012. In addition to standard audio‐visual and radar methods, we tested—for the first time with murrelets in Alaska—the application of autonomous acoustic recorders for monitoring vocal activity. We completed 74 radar, 124 audio‐visual, and 134 autonomous acoustic surveys, focused on presunrise activity peaks; this yielded 26,375 murrelet detections. Marbled (B. marmoratus) and Kittlitz's murrelets (B. brevirostris) could not be distinguished using combinations of radar and acoustic recordings; therefore, at‐sea surveys will be required to determine localized species proportions. Of the 3 methods, radar sampled the largest area and detected silently flying murrelets, providing the most reliable data on local populations; however, radar identification of murrelets was unreliable in winds exceeding 18 km/hr. Audio‐visual surveys were useful for species identification and to document behaviors associated with local nesting, whereas autonomous acoustic recorders allowed season‐long monitoring of murrelet vocal activity. Within potential forest‐nesting habitat of marbled murrelets, all 3 methods gave similar measures of presunrise murrelet activity, but only radar reliably sampled murrelets commuting between nest and ocean. Because of their low cost and flexible programming, automated sound recorders offer an affordable way to sample vocal activity prior to more intensive or expensive radar and audio‐visual surveys. We recommend that population monitoring and habitat studies of Brachyramphus murrelets in Alaska include combinations of all 3 methods.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.623","usgsCitation":"Cragg, J., Burger, A.E., and Piatt, J.F., 2016, Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.623.","ipdsId":"IP-057687","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471248,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/c6a0cd7970714963a885294974c8bc3d","text":"External Repository"},{"id":379764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379737,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.onlinelibrary.wiley.com/doi/full/10.1002/wsb.623"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.720458984375,\n 56.30434864830831\n ],\n [\n -153.8250732421875,\n 56.52616947342749\n ],\n [\n -152.20458984375,\n 57.35616414789182\n ],\n [\n -151.69372558593747,\n 58.24594583464163\n ],\n [\n -152.38037109375,\n 58.69121321309073\n ],\n [\n -152.9296875,\n 58.54819451046483\n ],\n [\n -153.8360595703125,\n 57.94692981959113\n ],\n [\n -154.85778808593747,\n 57.41537824180043\n ],\n [\n -154.8797607421875,\n 56.41390137600676\n ],\n [\n -154.720458984375,\n 56.30434864830831\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2016-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cragg, J.L.","contributorId":243996,"corporation":false,"usgs":false,"family":"Cragg","given":"J.L.","affiliations":[{"id":41163,"text":"Department of Biology, University of Victoria","active":true,"usgs":false}],"preferred":false,"id":802956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, Alan E.","contributorId":179916,"corporation":false,"usgs":false,"family":"Burger","given":"Alan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":802957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":802958,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168338,"text":"70168338 - 2016 - Mapping technological and biophysical capacities of watersheds to regulate floods","interactions":[],"lastModifiedDate":"2016-02-10T10:05:12","indexId":"70168338","displayToPublicDate":"2016-02-10T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mapping technological and biophysical capacities of watersheds to regulate floods","docAbstract":"Flood regulation is a widely valued and studied service provided by watersheds. Flood regulation benefits people directly by decreasing the socio-economic costs of flooding and indirectly by its positive impacts on cultural (e.g., fishing) and provisioning (e.g., water supply) ecosystem services. Like other regulating ecosystem services (e.g., pollination, water purification), flood regulation is often enhanced or replaced by technology, but the relative efficacy of natural versus technological features in controlling floods has scarcely been examined. In an effort to assess flood regulation capacity for selected urban watersheds in the southeastern United States, we: (1) used long-term flood records to assess relative influence of technological and biophysical indicators on flood magnitude and duration, (2) compared the widely used runoff curve number (RCN) approach for assessing the biophysical capacity to regulate floods to an alternative approach that acknowledges land cover and soil properties separately, and (3) mapped technological and biophysical flood regulation capacities based on indicator importance-values derived for flood magnitude and duration. We found that watersheds with high biophysical (via the alternative approach) and technological capacities lengthened the duration and lowered the peak of floods. We found the RCN approach yielded results opposite that expected, possibly because it confounds soil and land cover processes, particularly in urban landscapes, while our alternative approach coherently separates these processes. Mapping biophysical (via the alternative approach) and technological capacities revealed great differences among watersheds. Our study improves on previous mapping of flood regulation by (1) incorporating technological capacity, (2) providing high spatial resolution (i.e., 10-m pixel) maps of watershed capacities, and (3) deriving importance-values for selected landscape indicators. By accounting for technology that enhances or replaces natural flood regulation, our approach enables watershed managers to make more informed choices in their flood-control investments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2015.09.049","usgsCitation":"Mogollon, B., Villamagna, A., Frimpong, E.A., and Angermeier, P.L., 2016, Mapping technological and biophysical capacities of watersheds to regulate floods: Ecological Indicators, v. 61, no. 2, p. 483-499, https://doi.org/10.1016/j.ecolind.2015.09.049.","productDescription":"17 p.","startPage":"483","endPage":"499","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060338","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2015.09.049","text":"Publisher Index Page"},{"id":317897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc5f35e4b08d617f660020","contributors":{"authors":[{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":619716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villamagna, Amy M.","contributorId":166683,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy M.","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":619717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frimpong, Emmanuel A.","contributorId":79372,"corporation":false,"usgs":true,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168339,"text":"70168339 - 2016 - The first description of oarfish Regalecus glesne (Regalecus russellii Cuvier 1816) ageing structures","interactions":[],"lastModifiedDate":"2016-02-10T10:00:22","indexId":"70168339","displayToPublicDate":"2016-02-10T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"The first description of oarfish Regalecus glesne (Regalecus russellii Cuvier 1816) ageing structures","docAbstract":"