GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Publisher
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Finsinger, Walter; Tinner, Willy (2007): Pollen and plant macrofossils at Lac de Fully (2135 m a.s.l.): Holocene forest dynamics on a highland plateau in the Valais, Switzerland. The Holocene, 17(8), 1119-1127, https://doi.org/10.1177/0959683607082552
    Publication Date: 2023-05-12
    Description: We use pollen, stomata and plant-macrofossil records to infer Holocene timberline fluctuations and changes in forest composition at Lac Superieur de Fully (2135 m a.s.l.), a small lake located near the modern regional timberline on a highland plateau in the Central Alps. Our records suggest that during the early Holocene vegetation was rather open on the plateau (eg, heaths of Dryas octopetala, Juniperus nana). The only tree that was able to build major stands was Betula. Other timberline trees (eg, Pinus cembra and Larix) expanded in the catchment of the lake after 8200 cal. BP, when Abies alba expanded at lower elevation. The late appearance of these timberline trees contrasts with previous plant-macrofossil records in the region, which show that the timberline had reached elevations up to at least 2350 m already at 11 000 cal. BP. We suggest that local climatic conditions may have delayed the expansion of closed stands of coniferous trees in the catchment of Lac de Fully until c. 8200 cal. BP, when climate shifted to more humid and less continental conditions. After c. 4600 cal. BP vegetation around the lake primarily responded to human impact, which caused a local lowering of the timberline by at least 150 m.
    Keywords: FULLY; Lac Superieur de Fully, Switzerland
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-05-12
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Calendar age; DEPTH, sediment/rock; FULLY; Lac Superieur de Fully, Switzerland; Sample ID; Sample thickness; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-05-12
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; FULLY; Lac Superieur de Fully, Switzerland; Microcharcoal; Sample volume
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-11-01
    Keywords: Abies alba, male flower; Age; AGE; Aquatics; Betula alba, bud scale; Betula alba, catkin scale; Betula alba, fruits; Carex tricarpellate, seed; Caryophillaceae, seeds; Charcoal; Chironomidae; Compositae, seeds; Coniferae, bud scale; Coniferae, periderm; DEPTH, sediment/rock; Dryas octopetala, leaf; Dry volume; Ericaceae, wood; Extrafossils; FULLY; Herbs; Isoetes sp., macrospore; Juniperus nana, needles; Juniperus nana, stem; Juniperus sabina, stem; Juniperus sp., stem; Lac Superieur de Fully, Switzerland; Larix decidua, brachiblast; Larix decidua, needles; Larix decidua, seeds; Leaf fragment, dicotiledone; Moss, stem; Picea abies, needles; Pinaceae, seeds; Pinus cembra, needles; Pinus cembra, seeds; Pinus cembra, short shoot; Plant remains, total; Plant remains indeterminata; Plant remains indeterminata, bark; Plant remains indeterminata, bud scale; Plant remains indeterminata, seed; Plant remains indeterminata, wood; Rumex sp., seeds; Sample thickness; Shrubs; Trees; Trichoptera tubuli, CaCO3
    Type: Dataset
    Format: text/tab-separated-values, 5985 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2023-11-01
    Keywords: Abies; Acer; Achillea-type; Aconitum-type; Allium-type; Alnus glutinosa-type; Alnus viridis; Anemone nemorosa-type; Artemisia; Asphodelus albus-type; Asteroideae; Astrantia-type; Athyrium filix-femina; Betula; Botrychium; Bupleurum-type; Calluna vulgaris; Caltha-type; Carpinus; Caryophyllaceae; Castanea sativa; Cedrus; Centaurea scabiosa-type; Cerastium cerastioides-type; Cerealia-type; Chaerophyllum hirsutum-type; Chenopodiaceae-type; Cichorioideae; Cirsium; Coniferae: stomata; Cornus mas-type; Corylus avellana; Crassulaceae; Cruciferae; Cyperaceae; Cystopteris fragilis; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dryopteris filix-mas-type; Empetrum-type; Ephedra fragilis-type; Epilobium; Euphorbia; Fagus; Fallopia; Filipendula; Fraxinus excelsior; FULLY; Gentiana lutea; Gentiana pneumonanthe-type; Geranium; Gramineae; Hedera-type; Helianthemum; Heracleum-type; Humulus/Cannabis-type; Indeterminata; Isoetes; Juniperus; Juniperus: stomata; Lac Superieur de Fully, Switzerland; Larix; Larix: stomata; Lilium martagon-type; Mentha-type; Monolete spore(s); Odontites-type; Peucedanum-type; Phyteuma; Picea; Picea: stomata; Pinus, stomata; Pinus cembra; Pinus sylvestris-type; Plantago alpina-type; Plantago lanceolata-type; Plantago major; Polygonum persicaria-type; Polypodium vulgare-type; Potentilla-type; Pteridium aquilinum; Pulsatilla; Quercus, deciduous-type; Quercus ilex-type; Ranunculus acris-type; Rhamnus-type; Rosaceae; Rubiaceae; Rumex acetosa; Rumex acetosella-type; Salix; Sambucus ebulus; Sambucus racemosa; Sample volume; Saxifraga granulata; Saxifraga oppositifolia-type; Scrofulariaceae; Sedum; Selaginella selaginoides; Silene dioica-type; Sorbus aucuparia-type; Spores, trilete; Sporormiella; Teucrium; Thalictrum; Tilia; Typha latifolia; Ulmus; Umbelliferae; Urtica; Ustulina deusta; Vaccinium-type; Valeriana dioica-type; Valeriana officinalis-type; Varia; Viburnum lantana; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 7130 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-03-06
    Keywords: Abies; Acacia; Acanthus; Acer; AGE; Agrimonia-type; Alisma-type; Allium-type; Alnus glutinosa-type; Alnus viridis; Amaranthus; Ammi-type; Anemone hortensis-type; Anogramma leptophylla; Anthemis-type; Anthericum; Anthoceros laevis; Anthriscus sylvestris-type; Anthyllis; Apiaceae; Apium-type; Arbutus; Artemisia; Asparagus; Asphodelus albus-type; Asphodelus fistulosus; Asplenium-type; Aster-type; Astragalus-type; Bellis; Betula; Bidens-type; Boraginaceae; Borago officinalis; Brassicaceae; Buxus sempervirens; Calendula; Calligonum; Caltha-type; Calystegia; Cannabis sativa; Carduus; Carlina; Carpinus betulus; Carthamus; Castanea sativa; Cedrus; Celtis australis; Centaurea nigra-type; Centaurium; Cerastium-type; Ceratophyllum: spines; Cercophora-type; Cerealia-type; Cerinthe; Chaerophyllum hirsutum-type; Chaerophyllum-type; Chamaerops humilis; Charcoal; Cheilanthes-type; Chenopodiaceae-type; Cichorioideae; Cirsium; Cistus; Citrus; Cladium mariscus; Clematis; Colchicum-type; Convolvulus; Coriaria; Corylus avellana; Counted exote; Counting, palynology; Cuscuta; Cynoglossum officinale-type; Cyperaceae; Cyperus-type; Daphne; Daucus; DEPTH, sediment/rock; Dinoflagellates; Diporotheca; Dorycnium; Echium; EPD; Ephedra distachya-type; Ephedra fragilis-type; Equisetum; Erica arborea-type; Eryngium; Eucalyptus; Eupatorium; Euphorbia; Euphrasia-type; Fabaceae; Fagus sylvatica; Falcaria-type; Fedia cornucopiae; Fern spores, aquatic; Ficus carica; Filipendula; Fraxinus excelsior-type; Fraxinus ornus; Genista-type; Geranium; Gladiolus-type; Gnaphalium-type; GORGOBAS; Gorgo basso; Gypsophila arrostii; Hedera helix; Helianthemum; Helleborus viridis; Heracleum; Herniaria-type; Hippocrepis-type; Humulus lupulus; Hydrocotyle; Hypericum perforatum-type; Iris pseudacorus-type; Isoetes; Juncaceae; Juniperus-type; Knautia; Lamiaceae; Ligusticum mutellina; Ligustrum; Liliaceae-type; Limonium; Linaria-type; Linum usitatissimum; Lithospermum officinale; LIVC; Livingstone corer; Lotus-type; Lychnis viscaria-type; Lycopodium (counted) for charcoal; Lycopodium spores per tablet; Lycopodium tablets; Lygeum spartum; Lysimachia vulgaris-type; Lythrum; Matthiola-type; Medicago falcata-type; Mentha-type; Menyanthes trifoliata; Mercurialis annua; Mercurialis perennis; Morus; Mougeotia; Myriophyllum spicatum; Myrtus communis; Nigella; Odontites-type; Oenanthe; Olea; Onobrychis; Ononis-type; Ophioglossum lusitanicum; Ornithogalum-type; Ornithopus; Ostrya-type; Papaver rhoeas-type; Paronychia-type; Pediastrum; Petasites; Peucedanum-type; Phillyrea; Phlomis; Phragmites australis; Picea; Pimpinella major-type; Pinus subgen. Pinus; Pinus subgen. Strobus; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago major; Plantago maritima-type; Platanus; Poaceae; Podospora-type; Polygonum aviculare-type; Polygonum persicaria-type; Polypodium; Populus; Potamogeton-type; Potentilla-type; Prunella-type; Prunus-type; Psoralea bituminosa; Pteridium aquilinum; Quercus cerris-type; Quercus ilex-type; Quercus pubescens-type; Ranunculus acris-type; Ranunculus lingua-type; Ranunculus subgen. Batrachium; Reseda-type; Rhamnus; Rhus; Riccia; Rosa; Rosaceae; Rubiaceae; Rubus; Rumex acetosa-type; Rumex acetosella; Rumex obtusifolius-type; Rumex scutatus-type; Ruppia; Sagina; Sagittaria; Salix; Sambucus nigra; Sample volume; Sanguisorba minor-type; Sanicula europaea; Saxifraga granulata-type; Saxifraga tridactylitis-type; Scabiosa; Scorzonera humilis-type; Scrophulariaceae; Scrophularia-type; Sedum-type; Senecio-type; Serratula-type; Sideritis; Silene vulgaris-type; Silenoideae-type; Simethis planifolia; Smyrnium-type; Solanum dulcamara; Solanum nigrum-type; Sorbus-type; Sparganium-type; Spergula-type; Spirogyra-type; Sporormiella; Stachys-type; Succisa; Tamarix; Taxus baccata; Teucrium; Thalictrum; Theligonum cynocrambe; Thelypteris palustris; Tilia; Tilletia sphagni; Tofieldia; Trachycarpus fortunei; Trifolium pratense-type; Trifolium repens-type; Trollius europaeus; Tuberaria; Turgenia latifolia; Typha latifolia-type; Ulmus; Urtica dioica-type; Urtica membranacea-type; Urtica pilulifera; Ustulina deusta; Utricularia; Valerianella; Verbena officinalis; Veronica; Viburnum tinus; Vicia-type; Vitis; Xanthium; Zelkova
    Type: Dataset
    Format: text/tab-separated-values, 22881 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Finsinger, Walter; Heiri, Oliver; Valsecchi, Verushka; Tinner, Willy; Lotter, André F (2007): Modern pollen assemblages as climate indicators in southern Europe. Global Ecology and Biogeography, 16(5), 567-582, https://doi.org/10.1111/j.1466-8238.2007.00313.x
    Publication Date: 2024-03-06
    Description: Aim and Location: Our aim is to develop pollen-climate inference models for southern Europe and to test their performance and inference power by cross-validation with modern climate data. Surface sediments collected from lakes along a climate gradient from the winter-cold/summer-wet Alps to winter-wet/summer-dry Sicily were analysed for modern pollen assemblages. Methods: For each lake, mean monthly temperatures, seasonal precipitation and site-specific climate uncertainties have been estimated. Pollen-climate relationships were studied using numerical analyses, and inference models were derived by partial least squares (PLS) and weighted-averaging PLS (WA-PLS) regressions for January and July temperatures (T ), and for winter, spring and summer precipitation (P). In order to assess whether these variables are also of ecological importance for vegetation in the subregions, we split the data set into an Alpine and a Mediterranean subset. Results: Low bootstrap cross-validated root mean square errors of prediction (RMSEP) for January T (1.7 °C), July T (2.1 °C) and summer P (38 mm), as well as low RMSEPs expressed as a percentage of the gradient length (8 -9%), indicate a good inference power. Models revealed excellent to good performance statistics for January T, July T and summer P (r2 = 0.8), and for winter and spring P (r 2 = c. 0.5). We show that the variables with the highest explanatory power differ between the two subregions. These are summer T and P for the Alpine set, and January T, winter P and July T for the Mediterranean set. Main conclusions: The study reveals the influence of climatic conditions during the growing season on modern pollen assemblages and indicates the potential of pollen data for long-term climate reconstructions of parameters such as winter precipitation and temperature, which seem to be the main factors having an influence on the variability of Mediterranean climate. These models may therefore provide important information on past regional climate variability in southern Europe.
    Keywords: Abies; Acer; Achillea-type; Aconitum; Aesculus; Aethusa cynapium-type; Alchemilla-type; Allium-type; Alnus glutinosa-type; Alnus viridis; Ambrosia-type; Amorpha fruticosa; Anemone hortensis; Anemone nemorosa-type; Anthericum-type; Anthriscus sylvestris-type; Apium inundatum-type; Arbutus-type; Artemisia; Asplenium-type; Asteroideae; Athyrium filix-femina; Betula; Biviere_Cesaro; Biviere Cesaro, BC; Botrychium; Bupleurum-type; Buxus; Calluna vulgaris; Caltha-type; Campanula; Carpinus; Caryophyllaceae; Castanea sativa; Cedrus; Celtis; Centaurea nigra-type; Centaurea solstitialis; Cerastium cerastioides-type; Cerastium fontanum-type; Cerealia; Chaerophyllum hirsutum-type; Chamaerops humilis; Chenopodiaceae-type; Cichorioideae; Cirsium; Cistus crispus-type; Cistus salvifolius; Clematis group; Cornus mas; Cornus sanguinea; Corylus avellana; Crassula; Cruciferae; Cryptogramma crispa; Cryptomeria-type; Cystopteris fragilis; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dianthus-type; Dryopteris filix-mas-type; Echium; Elaeagnus; Empetrum-type; Ephedra distachya-type; Ephedra fragilis-type; Erica arborea-type; Ericaceae; Eucalyptus; Euphorbia; Event label; Fagus; Falcaria vulgaris-type; Fallopia convolvulus-type; Filipendula; Frangula alnus; Fraxinus excelsior; Fraxinus ornus; GC; GCUWI; Gentiana pneumonanthe-type; Geranium; Gramineae; Gravity corer; Gravity corer, UWITEC; Gypsophila repens-type; Hedera-type; Helianthemum; Helleborus viridis; Heracleum-type; HONK; HON-Kajak sediment corer; Humulus lupulus; Humulus-type; Huperzia selago; Hypericum perforatum-type; Identification; Italy; Juglans; Juniperus; Lac_des_Grenouilles; Lac des Grenouilles, GREN; Lago_Albano; Lago_Buse; Lago_Calamone; Lago_Campagna; Lago_Cece; Lago_Colbricon_inferiore; Lago_Colbricon_superiore; Lago_Cornisello_inferiore; Lago_Cornisello_superiore; Lago_del_Segrino; Lago_dellAccesa; Lago_dellAquilente; Lago_delle_Lame; Lago_delle_Trote; Lago_dellOrgials; Lago_di_Alice_Superiore; Lago_di_Alserio; Lago_di_Ballone; Lago_di_Bertignano; Lago_di_Bolsena; Lago_di_Bracciano; Lago_di_Burano; Lago_di_Caldaro; Lago_di_Caldonazzo; Lago_di_Campo; Lago_di_Candia; Lago_di_Caselette; Lago_di_Cei; Lago_di_Comabbio; Lago_di_Fibreno; Lago_di_Fraturno; Lago_di_Ganna; Lago_di_Lases; Lago_di_Lavarone; Lago_di_Martignano; Lago_di_Meugliano; Lago_di_Mezzano; Lago_di_Monate; Lago_di_Moncrivello; Lago_di_Montorfano; Lago_di_Nemi; Lago_di_Paterno; Lago_di_Pojala; Lago_di_Rascino; Lago_di_San_Floriano; Lago_di_San_Michele; Lago_di_Santa_Colomba; Lago_di_SantAnna_di_Vinadio; Lago_di_Sibolla; Lago_di_Tovel; Lago_di_Valdurna; Lago_di_Varese; Lago_di_Varsi; Lago_di_Ventina; Lago_di_Vico; Lago_Fedaia; Lago_Gemini_inferiore; Lago_Ghirla; Lago_Giulianello; Lago_Grande_di_Avigliana; Lago_Grande_di_Monticchio-2; Lago_Idro; Lago_Lamar; Lago_Laudemio; Lago_Lauson; Lago_Lungo; Lago_Lusia_III; Lago_Madrano; Lago_Monticolo_Grande; Lago_Moregna; Lago_Padule_Cerretano; Lago_Pusiano; Lago_San_Puoto; Lago_Santo; Lago_Santo_Parmense; Lago_Santo_Terlago; Lago_Scuro_Cerretano; Lago_Scuro_delle_Agoraie; Lago_Scuro-Polverosa; Lago_Sfondato; Lago_Sirino; Lago_Sirio; Lago_Stellune; Lago_Trearie; Lago_Verde_del_Passo_del_Brattello; Lago_Viverone; Lago Albano, ALB; Lago Buse, BUSE; Lago Calamone, CAL; Lago Campagna, CAM; Lago Cece, CECE; Lago Colbricon inferiore, COLI; Lago Colbricon superiore, COLS; Lago Cornisello inferiore, COIN; Lago Cornisello superiore, COSU; Lago dellAccesa, ACC; Lago dellAquilente, AQUI; Lago delle Lame, LAM; Lago delle Trote, TROT; Lago dellOrgials, ORG; Lago del Segrino, SEG; Lago di Alice Superiore, ALI; Lago di Alserio, ALS; Lago di Ballone, BAL; Lago di Bertignano, BERT; Lago di Bolsena, BOLS; Lago di Bracciano, BRA; Lago di Burano, BUR; Lago di Caldaro, CALD; Lago di Caldonazzo, CA; Lago di Campo, PT 16; Lago di Candia, CAN; Lago di Caselette, CAS; Lago di Cei, CEI; Lago di Comabbio, COM; Lago di Fibreno, FIBR; Lago di Fraturno, FRAT; Lago di Ganna, GAN; Lago di Lases, LAS; Lago di Lavarone, LA; Lago di Martignano, MART; Lago di Meugliano, MEU; Lago di Mezzano, MEZ; Lago di Monate, MONA; Lago di Moncrivello, MOC; Lago di Montorfano, MON; Lago di Nemi, NEMI; Lago di Paterno, PAT; Lago di Pojala, PT 41; Lago di Rascino, RASC; Lago di San Floriano, SFLO; Lago di San Michele, LSM; Lago di Santa Colomba, SCOL; Lago di SantAnna di Vinadio, SANN; Lago di Sibolla, SIB; Lago di Tovel, TOV; Lago di Valdurna, VALD; Lago di Varese, VARE; Lago di Varsi, VAR; Lago di Ventina, VEN; Lago di Vico, VICO; Lago Fedaia, FED; Lago Gemini inferiore, GEMNF; Lago Ghirla, GHI; Lago Giulianello, GIUL; Lago Grande di Avigliana, AVG; Lago Grande di Monticchio, MONT 05/3A; Lago Idro, IDR; Lago Lamar, LAMR; Lago Laudemio, LL; Lago Lauson, LAUZ; Lagolo; Lagolo, LAG; Lago Lungo, LU; Lago Lusia III, LUSI; Lago Madrano, MADR; Lago Monticolo Grande, MGRA; Lago Moregna, MOR; Lago Padule Cerretano, PADC; Lago Pusiano, PUS; Lago San Puoto, SAP; Lago Santo (Cembra), SCEM; Lago Santo Parmense, SPA; Lago Santo Terlago, TERL; Lago Scuro Cerretano, SCER; Lago Scuro delle Agoraie (Lame), SCLA; Lago Scuro - Polverosa, SCPO; Lago Sfondato, PT 09; Lago Sirino, SI; Lago Sirio, SIR; Lago Stellune, STE; Lago Trearie, LT; Lago Verde del Passo del Brattello, VERD; Lago Viverone, VIV; Laguna_del_Faro; Laguna del Faro (Pantano Grande), LF; Lake; Larix; Latitude of event; Ligustrum; Lilium martagon-type; Linum austriacum-type; Liquidambar; Loiseleuria procumbens-type; Longitude of event; Lotus-type; Lythrum salicaria; Melampyrum; Mentha-type; Mercurialis; Minuartia rubra-type; Morus alba; Odontites-type; Olea; Onobrychis-type; Ononis-type; Ostrya-type; Pantano_Cuba; Pantano Cuba, PC; Papilionaceae; Peucedanum-type; Phillyrea; Picea; Pimpinella major-type; Pinus cembra; Pinus sylvestris-type; Pistacia; Plantago alpina-type; Plantago coronopus; Plantago lanceolata-type; Plantago major/media; Platanus; Polygonum amphibium; Polygonum aviculare; Polygonum viviparum; Polypodium vulgare-type; Populus; Potentilla-type; Primula farinosa; Primula veris-type; Prunus-type; Pteridium aquilinum; Pulsatilla; Quercus cerris-type; Quercus ilex-type; Quercus robur/Q. pubescens-type; Ranunculus acris-type; Rhamnus-type; Rhinanthus-type; Rhus group; Robinia pseudoacacia; Rosaceae; Rubiaceae; Rumex acetosa-type; Rumex acetosella-type; Sagina; Salix; Sambucus; Sample code/label; Sanguisorba minor ssp. minor; Sanguisorba officinalis; Saxifraga oppositifolia-type; Scrofulariaceae; Secale; Sedum; Senecio-type; Silene dioica-type; Silene vulgaris-type; Site; Solanum dulcamara; Solanum nigrum-type; Soldanella; Sorbus-type; Spores, monolete; Symphytum; Tamarix; Taxus; Thalictrum; Thesium humifusum; Tilia; Trifolium pratense-type; Trifolium repens-type; Trinia glauca-type; Trollius; Tsuga; Ulex-type; Ulmus; Umbelliferae; Urio_Quattrocchi; Urio Quattrocchi, UQ; Urtica pilulifera; Urtica urens; Vaccinium-type; Valeriana dioica-type; Valeriana officinalis-type; Veronica-type; Viburnum lantana; Vicia-type; Viscum; Vitis; Zea mays
    Type: Dataset
    Format: text/tab-separated-values, 17388 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-02-16
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EPD; GORGOBAS; Gorgo basso; Lithology/composition/facies; LIVC; Livingstone corer
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-02-16
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; DEPTH, sediment/rock; EPD; GORGOBAS; Gorgo basso; LIVC; Livingstone corer; Sample, optional label/labor no; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 115 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Publication Date: 2024-05-27
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...