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  • 1
    Series available for loan
    Series available for loan
    Washington, DC : United States Gov. Print. Off.
    Associated volumes
    Call number: SR 90.0002(995)
    In: Professional paper
    Type of Medium: Series available for loan
    Pages: IV, 27 S.
    Series Statement: U.S. Geological Survey professional paper 995
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Publication Date: 2023-01-13
    Keywords: Alaska, USA; Deadhorse; ENV; Environmental investigation; Event label; Franklin_Bluffs; Green_Cabin; Happy_Valley; Howe_Island; Isachsen2; Latitude of event; Longitude of event; Mould_Bay2; Queen Elizabeth Islands, Canada NWT; Sagwon; Sample code/label; Vegetation biomass; West_Dock
    Type: Dataset
    Format: text/tab-separated-values, 3555 data points
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  • 3
    Publication Date: 2023-11-01
    Keywords: Abietinella abietina; Agonimia gelatinosa; Alaska, USA; Alectoria nigricans; Alectoria ochroleuca; Allocetraria madreporiformis; Aloina brevirostris; Alopecurus alpinus; Amblystegium longicuspus; Amblystegium serpens; Anaptychia bryorum; Anastrophyllum minutum; Andromeda polifolia; Androsace chamaejasme; Aneura pinguis; Antennaria friesiana; Antennaria sp.; Anthelia juratzkana; Arctagrostis latifolia; Arctoa anderssonii; Arctocetraria nigricascens; Arctomia delicatula; Arctostaphylos alpina; Arctous rubra; Arnellia fennica; Artemisia borealis; Arthrorhaphis vacillans; Asahinea chrysantha; Astragalus alpinus; Astragalus richardsonii; Astragalus umbellatus; Aulacomnium acuminatum; Aulacomnium palustre; Aulacomnium turgidum; Baeomyces carneus; Baeomyces rufus; Barbilophozia barbata; Barbilophozia binsteadii; Barbilophozia hyperborea; Barbilophozia kunzeana; Barbula unguiculata; Bare ground; Bartramia ithyphylla; Betula nana; Biatora subduplex; Biatora vernalis; Biatorella conspersa; Bistorta vivipara; Blepharostoma trichophyllum; Brachythecium mildeanum; Brachythecium turgidum; Braya glabella var. glabella; Braya glabella var. purpurascens; Braya humilis; Bryocaulon divergens; Bryodina rhypariza; Bryoerythrophyllum recurvirostre; Bryonora castanea; Bryum arcticum; Bryum argenteum; Bryum caespiticium; Bryum pseudotriquetrum; Bryum rutilans; Bryum sp.; Bryum subneodamense; Bryum teres; Bryum wrightii; Bucegia romanica; Calamagrostis canadensis; Calamagrostis sp.; Callialaria curvicaule; Calliergon giganteum; Calliergon sp.; Caloplaca ammiospila; Caloplaca cerina; Caloplaca phaeocarpella; Caloplaca sp.; Caloplaca tetraspora; Caloplaca tiroliensis; Caloplaca tornoensis; Caloplaca xanthostigmoidea; Calypogeja muelleriana; Calypogeja sphagnicola; Campylium arcticum; Campylium chrysophyllum; Campylium longicuspus; Campylium polygamum; Campylium stellatum; Candelariella placodizans; Candelariella sp.; Candelariella terrigena; Cardamine bellidifolia; Cardamine digitata; Carex aquatilis; Carex atrofusca; Carex bigelowii; Carex capillaris; Carex fuliginosa var. misandra; Carex heleonastes; Carex membranacea; Carex microchaeta; Carex rariflora; Carex rotundata; Carex rupestris; Carex scirpoidea; Carex sp.; Carex vaginata var. quasivaginata; Cassiope tetragona; Catapyrenium cinereum; Catapyrenium sp.; Catoscopium nigritum; Cephalozia bicuspidata; Cephalozia pleniceps; Cephaloziella arctogena; Cephaloziella grimsulana; Cephaloziella varians; Cerastium arcticum; Cerastium beeringianum; Ceratodon heterophyllus; Ceratodon purpureus; Cetraria aculeata; Cetraria inermis; Cetraria islandica; Cetraria laevigata; Cinclidium arcticum; Cinclidium latifolium; Cirriphyllum cirrosum; Cladina arbuscula; Cladina mitis; Cladina rangiferina; Cladina stygia; Cladonia alaskana; Cladonia amaurocraea; Cladonia cenotea; Cladonia chlorophaea; Cladonia coccifera; Cladonia cornuta; Cladonia cyanipes; Cladonia deformis; Cladonia fimbriata; Cladonia gracilis; Cladonia gracilis var. elongata; Cladonia macroceras; Cladonia pleurota; Cladonia pocillum; Cladonia pyxidata; Cladonia scabriuscula; Cladonia sp.; Cladonia squamosa; Cladonia subfurcata; Cladonia sulphurina; Cladonia trassii; Cladonia uncialis; Cochlearia groenlandica; Collema ceraniscum; Collema sp.; Collema tenax; Collema undulatum; Conostomum tetragonum; Cratoneuron sp.; Ctenidium molluscum; Ctenidium procerrimum; Cyrtomnium hymenophylloides; Dactylina arctica; Dactylina beringica; Dactylina ramulosa; Deadhorse; Dicranum acutifolium; Dicranum angustum; Dicranum bonjeanii; Dicranum elongatum; Dicranum fragilifolium; Dicranum groenlandicum; Dicranum sp.; Dicranum spadiceum; Dicranum undulatum; Didymodon asperifolius; Didymodon rigidulus; Didymodon rigidulus var. icmadophilus; Didymodon sp.; Didymodon spadiceus; Distichium capillaceum; Distichium inclinatum; Ditrichum flexicaule; Draba alpina; Draba cinerea; Draba nivalis; Draba oblongata; Draba sp.; Draba subcapitata; Drepanocladus aduncus; Drepanocladus brevifolius; Drepanocladus sendtneri; Drepanocladus sp.; Dryas integrifolia; Elymus alaskanus var. alaskanus; Elymus alaskanus var. hyperarcticus; Empetrum nigrum; Encalypta alpina; Encalypta longicolla; Encalypta procera; Encalypta rhaptocarpa; Encalypta sp.; Encalypta vulgaris; Endocarpon pusillum; Entodon concinnus; ENV; Environmental investigation; Epilobium sp.; Equisetum arvense; Equisetum variegatum; Eriophorum angustifolium var. triste; Eriophorum vaginatum; Eurhynchium pulchellum; Event label; Evernia perfragilis; Festuca baffinensis; Festuca brachyphylla; Festuca hyperborea; Fissidens arcticus; Fissidens bryoides; Flavocetraria cucullata; Flavocetraria nivalis; Franklin_Bluffs; Fulgensia bracteata; Fuscopannaria praetermissa; Green_Cabin; Grimmia sp.; Gymnomitrion concinnatum; Gymnomitrion corallioides; Happy_Valley; Hedysarum alpinum; Hennediella heimii; Hennediella heimii var. arctica; Howe_Island; Hulteniella integrifolium; Hylocomium splendens; Hymenostylium recurvirostre; Hypnum bambergeri; Hypnum cupressiforme; Hypnum holmenii; Hypnum revolutum; Hypnum sp.; Hypnum subimponens; Hypnum vaucheri; Hypogymnia subobscura; Isachsen2; Isopterygiopsis pulchella; Japewia tornoensis; Juncus biglumis; Juncus castaneus; Juncus triglumis; Jungermannia polaris; Kiaeria cf. blyttii; Kobresia myosuroides; Lagotis glauca; Latitude of event; Lecanora epibryon; Lecanora geophila; Lecanora luteovernalis; Lecidea ramulosa; Lecidella wulfenii; Leiocolea collaris; Lepraria cf. vouauxii; Lepraria neglecta; Lepraria sp.; Leptobryum pyriforme; Leptogium gelatinosum; Leptogium lichenoides; Leptogium sp.; Limprichtia revolvens; Lloydia serotina; Longitude of event; Lopadium pezizoideum; Lophozia badensis; Lophozia collaris; Lophozia excisa; Lophozia jurensis; Lophozia longiflora; Lophozia polaris; Lophozia savicziae; Lophozia silvicola; Lophozia sp.; Lophozia ventricosa; Lophozia wenzelii; Lupinus arcticus; Luzula confusa; Luzula nivalis; Masonhalea richardsonii; Meesia longiseta; Meesia triquetra; Meesia uliginosa; Megalaria jemtlandica; Megaspora verrucosa; Micarea incrassata; Minuartia arctica; Minuartia rossii; Minuartia rubella; Mnium marginatum; Mnium thomsonii; Mould_Bay2; Mycoblastus sanguinarius; Myurella julacea; Myurella tenerrima; Nephroma arcticum; Nephroma expallidum; Nostoc commune; Ochrolechia androgyna; Ochrolechia cf. inaequatula; Ochrolechia frigida; Ochrolechia inaequatula; Ochrolechia sp.; Ochrolechia upsaliensis; Odontoshisma macounii; Orthilia secunda; Orthothecium chryseum; Orthothecium strictum; Orthothecium varia; Orthotrichum speciosum; Oxyria digyna; Oxytropis arctica; Oxytropis arctobia; Oxytropis borealis; Oxytropis maydelliana; Oxytropis sp.; Packera heterophylla; Papaver macounii; Papaver radicatum; Papaver sp.; Parmelia omphalodes var. glacialis; Parrya arctica; Parrya nudicaulis; Pedicularis albolabiata; Pedicularis arctoeuropaea; Pedicularis capitata; Pedicularis labradorica; Pedicularis lanata; Pedicularis langsdorfii; Pedicularis lapponica; Pedicularis oederi; Pedicularis sudetica; Pellia endivifolia; Peltigera aphthosa; Peltigera canina; Peltigera didactyla; Peltigera frippii; Peltigera leucophlebia; Peltigera malacea; Peltigera neopolydactyla; Peltigera polydactylon; Peltigera rufescens; Peltigera scabrosa; Peltigera sp.; Peltigera venosa; Pertusaria atra; Pertusaria bryontha; Pertusaria dactylina; Pertusaria glomerata; Pertusaria octomela; Pertusaria panyrga; Petasites frigidus; Phaeorrhiza nimbosa; Philonotis tomentella; Physconia muscigena; Placopsis gelida; Placynthium nigrum; Plagiochila asplenioides; Pleurozium schreberi; Poa abbreviata; Poa alpigena; Poa arctica var. lanata; Poa sp.; Pogonatum urnigerum; Pohlia beringiensis; Pohlia cruda; Pohlia drummondii; Pohlia nutans; Pohlia sp.; Polyblastia bryophila; Polyblastia sendtneri; Polyblastia terrestris; Polychidium muscicola; Polytrichastrum alpinum; Polytrichastrum alpinum var. alpinum; Polytrichum hyperboreum; Polytrichum piliferum; Polytrichum sp.;
    Type: Dataset
    Format: text/tab-separated-values, 70093 data points
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  • 4
    Publication Date: 2023-07-10
    Keywords: -; Active layer depth; Alaska, USA; Bare ground; Blue-green algae; Carbon/Nitrogen ratio; Deadhorse; Density; ENV; Environmental investigation; Equisetum; Event label; Forbs; Franklin_Bluffs; Grass, cover; Green_Cabin; Happy_Valley; HEIGHT above ground; Horizon; Howe_Island; Index; Isachsen2; Latitude 2; Lichen; Marchantiophyta; Moss; Mould_Bay2; Normalized Difference Vegetation Index; pH; Plant community; Queen Elizabeth Islands, Canada NWT; Sagwon; Sample code/label; Sand; Shrubs; Silt; Size fraction 〈 0.002 mm, clay; Snow thickness; Soil moisture; Vegetation, cover; Vegetation biomass; Zone, biogeographic
    Type: Dataset
    Format: text/tab-separated-values, 9758 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Epstein, Howard E; Raynolds, Martha K; Walker, Donald A; Bhatt, Uma S; Tucker, Compton J; Pinzon, Jorge E (2012): Dynamics of aboveground phytomass of the circumpolar Arctic tundra during the past three decades. Environmental Research Letters, 7(1), 12 pp, https://doi.org/10.1088/1748-9326/7/1/015506
    Publication Date: 2023-12-13
    Description: Numerous studies have evaluated the dynamics of Arctic tundra vegetation throughout the past few decades, using remotely sensed proxies of vegetation, such as the normalized difference vegetation index (NDVI). While extremely useful, these coarse-scale satellite-derived measurements give us minimal information with regard to how these changes are being expressed on the ground, in terms of tundra structure and function. In this analysis, we used a strong regression model between NDVI and aboveground tundra phytomass, developed from extensive field-harvested measurements of vegetation biomass, to estimate the biomass dynamics of the circumpolar Arctic tundra over the period of continuous satellite records (1982-2010). We found that the southernmost tundra subzones (C-E) dominate the increases in biomass, ranging from 20 to 26%, although there was a high degree of heterogeneity across regions, floristic provinces, and vegetation types. The estimated increase in carbon of the aboveground live vegetation of 0.40 Pg C over the past three decades is substantial, although quite small relative to anthropogenic C emissions. However, a 19.8% average increase in aboveground biomass has major implications for nearly all aspects of tundra ecosystems including hydrology, active layer depths, permafrost regimes, wildlife and human use of Arctic landscapes. While spatially extensive on-the-ground measurements of tundra biomass were conducted in the development of this analysis, validation is still impossible without more repeated, long-term monitoring of Arctic tundra biomass in the field.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 6
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    PANGAEA
    In:  Supplement to: Walker, Donald A; Kuss, Patrick; Epstein, Howard E; Kade, Anja N; Vonlanthen, Corinne M; Raynolds, Martha K; Daniëls, Frederikus J A (2011): Vegetation of zonal patterned-ground ecosystems along the North America Arctic bioclimate gradient. Applied Vegetation Science, 14(4), 440-463, https://doi.org/10.1111/j.1654-109X.2011.01149.x
    Publication Date: 2023-12-13
    Description: Question: How do interactions between the physical environment and biotic properties of vegetation influence the formation of small patterned-ground features along the Arctic bioclimate gradient? Location: At 68° to 78°N: six locations along the Dalton Highway in arctic Alaska and three in Canada (Banks Island, Prince Patrick Island and Ellef Ringnes Island). Methods: We analysed floristic and structural vegetation, biomass and abiotic data (soil chemical and physical parameters, the n-factor [a soil thermal index] and spectral information [NDVI, LAI]) on 147 microhabitat releves of zonalpatterned-ground features. Using mapping, table analysis (JUICE) and ordination techniques (NMDS). Results: Table analysis using JUICE and the phi-coefficient to identify diagnostic species revealed clear groups of diagnostic plant taxa in four of the five zonal vegetation complexes. Plant communities and zonal complexes were generally well separated in the NMDS ordination. The Alaska and Canada communities were spatially separated in the ordination because of different glacial histories and location in separate floristic provinces, but there was no single controlling environmental gradient. Vegetation structure, particularly that of bryophytes and total biomass, strongly affected thermal properties of the soils. Patterned-ground complexes with the largest thermal differential between the patterned-ground features and the surrounding vegetation exhibited the clearest patterned-ground morphologies.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
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    IASC
    In:  EPIC3Workshop on 'Responding to Arctic Environmental Change' International Study for Arctic Change,, Kingston, Canada, 2012-01-30-2012-02-01Workshop Report 'Responding to Arctic Environmental Change' International Study for Arctic Change,, Stockholm/Fairbanks, IASC
    Publication Date: 2019-07-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev
    Format: application/pdf
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  • 8
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    In:  EPIC3The 12th International Circumpolar Remote Sensing Symposium, Levi, Finland, 2012-05-14-2012-05-18
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 10
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    Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
    Publication Date: 2022-05-25
    Description: Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 1995
    Description: This thesis addresses the question, "How do small-scale physics and biology combine to produce dense aggregations of certain species of zooplankton in the Great South Channel (GSC) of the Gulf of Maine?" The thesis consists of three relatively independent parts: an observational study made while following two right whales as they fed on dense patches of the copepod Galanus finmarchicus in the northern GSC; a detailed description of a tightly integrated set of biological and physical observations made in the GSC by means of a new instrument, the Video Plankton Recorder (VPR); and a two-dimensional Eulerian numerical model that simulates one way in which a physical flow field, combined with a biological behavior pattern, may produce dense plankton patches at a convergent front. Part I: Data from a wide variety of instruments was combined to produce a coherent picture of the physical and biological environment near two feeding right whales observed in June, 1989. Instruments included a CTD (with transmissometer), a MOCNESS net system, a 150-kHz ADCP, and a towed acoustic plankton profiler operating at 120 and 200 kHz. Acoustic data were intercalibrated with net-tow data and with "noise" in the transmissometer signal in order to estimate copepod abundance in the plankton patches on which the whales were feeding. One of the whales was observed to reverse course when copepod abundance dropped below about 1.5- 4.5 x 103 copepods/m3 , which is consistent with independent estimates of the density of copepods necessary for a right whale to gain more energy from the prey it ingests than it loses to the extra hydrodynamic drag it experiences while feeding. Part II: The VPR is a towed underwater microscope designed to image plankton non-invasively with sufficient resolution to obtain information on the spatial distribut ion of organisms on scales ranging from millimeters to hundreds of kilometers. CTD instrumentation mounted on the VPR makes it possible to correlate biological and hydrographic data with great precision. This study reports data from one transect made across the GSC in May, 1992. The data show close correlations between hydrographic features (such as fronts, plumes and water masses) and broad-scale plankton distribution. In addition, it was possible to correlate the fine-scale (order tens of meters) patchiness in plankton distribution with the local stability of the water column (as indicated by gradient Richardson number). In one case, biological data provided an aid in determining the origin of one of the observed water masses. Part III: This chapter presents a two-dimensional Eulerian numerical model that shows how depth-keeping swimming behavior on the part of an organism, combined with a convergent flow field at a surface front , can create dense patches of the organism. In this model a steady-state flow field and vertical diffusivity field are prescribed, along with the initial distribution of the plankton. The plankton swim vertically with speeds that depend only on depth, but the form of that depth-dependence may take into account such factors as the vertical variation in light level or in the concentration of some prey organism. An analysis of various nondimensional parameters associated with the model illustrates the roles played in determining the final structure of the patch by such factors as diffusion, water velocity and details of the animals' swimming behavior. Output from the model is compared with data taken at a dense plankton patch observed near a front in the northern Great South Channel in early June, 1989.
    Description: My first three years in the Joint Program were paid for by the Office of Naval Research under an ONR Fellowship. I would also like to acknowledge subsequent support from the National Science Foundation under grant OCE 93-13671 and the National Oceanic and Atmospheric Administration under grants NA36GP0374 and NA26GP0431.
    Keywords: Marine zooplankton ; Marine phytoplankton ; Copepoda ; Food chains ; Marlin (Ship) Cruise ; Endeavor (Ship: 1976-) Cruise EN237
    Repository Name: Woods Hole Open Access Server
    Type: Thesis
    Format: application/pdf
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