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  • 1
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The El Niño/Southern Oscillation (ENSO) phenomenon is believed to have operated continuously over the last glacial–interglacial cycle. ENSO variability has been suggested to be linked to millennial-scale oscillations in North Atlantic climate during that time, but the proposals ...
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-0894
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract Paleovegetation maps were reconstructed based on a network of pollen records from Australia, New Zealand, and southern South America for 18 000, 12000, 9000, 6000, and 3000 BP and interpreted in terms of paleoclimatic patterns. These patterns permitted us to speculate on past atmospheric circulation in the South Pacific and the underlying forcing missing line mechanisms. During full glacial times, with vastly extended Australasian land area and circum-Antarctic ice-shelves, arid and cold conditions characterized all circum-South Pacific land areas, except for a narrow band in southern South America (43° to 45°S) that might have been even wetter and moister than today. This implies that ridging at subtropical and mid-latitudes must have been greatly increased and that the storm tracks were located farther south than today. At 12000 BP when precipitation had increased in southern Australia, New Zealand, and the mid-latitudes of South America, ridging was probably still as strong as before but had shifted into the eastern Pacific, leading to weaker westerlies in the western Pacific and more southerly located westerlies in the eastern Pacific. At 9000 BP when, except for northernmost Australia, precipitation reached near modern levels, the south Pacific ridges and the westerlies must have weakened. Because of the continuing land connection between New Guinea and Australia, and reduced seasonality, the monsoon pattern had still not developed. By 6000 BP, moisture levels in Australia and New Zealand reached their maximum, indicating that the monsoon pattern had become established. Ridging in the South Pacific was probably weaker than today, and the seasonal shift of the westerlies was stronger than before. By 3000 BP essentially modern conditions had been achieved, characterized by patterns of high seasonal variability.
    Type of Medium: Electronic Resource
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  • 3
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    PANGAEA
    In:  Supplement to: Kershaw, A Peter (1976): A Late Pleistocene and Holocene pollen diagram from Lynch´s Crater, north-eastern Queensland, Australia. New Phytologist, 77(2), 469-498, https://doi.org/10.1111/j.1469-8137.1976.tb01534.x
    Publication Date: 2023-05-12
    Description: The pollen diagram from Lynch's Crater extends the climatic and vegetation record for the Atherton Tableland back to about 60,000 years B.P. Subtropical rain forest, with abundant Araucaria, was present around the site from before 60,000 B.P. to about 38,000 B.P. and existed under about half the present-day annual rainfall. This was replaced by sclerophyll vegetation between 38,000 and 27,000 B.P. as a result of a decrease in precipitation, a decrease in temperature or the activities of aboriginal man. In any case the agent of rain forest destruction was probably fire. The record for the last 10,000 years or so is probably incomplete and radiocarbon dates unreliable, but changes during this period are in broad agreement with those evidenced from previously described sites within the area. The sequence from Lynch's Crater provides a basis for the interpretation of many problematical features of present-day vegetation distributions.
    Keywords: Age, dated; Age, dated, error to older; Age, dated, error to younger; Age, radiocarbon; Australia; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Lynch_Crater; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 4
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    In:  Supplement to: Moss, Patrick T; Kershaw, A Peter (2000): The last glacial cycle from the humid tropics of northeastern Australia: comparison of a terrestrial and a marine record. Palaeogeography, Palaeoclimatology, Palaeoecology, 155(1-2), 155-176, https://doi.org/10.1016/S0031-0182(99)00099-1
    Publication Date: 2024-01-09
    Description: A detailed pollen record from the Ocean Drilling Program Site 820 core, located on the upper part of the continental slope off the coast of northeast Queensland, was constructed to compare with the existing pollen record from Lynch's Crater on the adjacent Atherton Tableland and allow the production of a regional picture of vegetation and environmental change through the last glacial cycle. Some broad similarities in patterns of vegetation change are revealed, despite the differences between sites and their pollen catchments, which can be related largely to global climate and sea-level changes. The original estimated time scale of the Lynch's Crater record is largely confirmed from comparison with the more thoroughly dated ODP record. Conversely, the Lynch's Crater pollen record has assisted in dating problematic parts of the ODP record. In contrast to Lynch's Crater, which reveals a sharp and sustained reduction in drier araucarian forest around 38,000 yrs BP, considered to have been the result of burning by Aboriginal people, the ODP record indicates, most likely, a stepwise reduction, dating from 140,000 yrs BP or beyond. The earliest reduction shows lack of a clear connection between Araucaria decline and increased burning and suggests that people may not have been involved at this stage. However, a further decline in araucarian forest, possibly around 45,000 yrs BP, which has a more substantial environmental impact and is not related to a time of major climate change, is likely, at least partially, the result of human burning. The suggestion, from the ODP core oxygen isotope record, of a regional sea-surface temperature increase of around 4ºC between about 400,000 and 250,000 yrs BP, may have had some influence on the overall decline in Araucaria and its replacement by sclerophyll vegetation.
    Keywords: 133-820; Age, maximum/old; Age, minimum/young; Age model; Age model, Martinson et al (1987); Ageprofile Datum Description; Comment; COMPCORE; Composite Core; Coral Sea; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Joides Resolution; Leg133; Ocean Drilling Program; ODP
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 5
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    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: 2024-01-13
    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
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    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-04-20
    Keywords: 133-820; Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Charcoal; Classical age-modeling approach, CLAM (Blaauw, 2010); COMPCORE; Composite Core; Coral Sea; DEPTH, sediment/rock; Joides Resolution; Leg133; Sample ID; Type of age model; Unit
    Type: Dataset
    Format: text/tab-separated-values, 408 data points
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  • 7
    Publication Date: 2024-04-20
    Keywords: 133-820; Abrupt Climate Changes and Environmental Responses; Acacia; Accumulation model; ACER; Agathis; Apiaceae; Araucaria; Arecaceae; Asteraceae; Avicennia marina; Balanops; Bruguiera/Ceriops; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Callitris; Camptostemon; Casuarinaceae; Celtis; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); COMPCORE; Composite Core; Coral Sea; Counting, palynology; Cunoniaceae; Cyathea; Cyperaceae; Dacrydium guillauminii; DEPTH, sediment/rock; Dodonaea; Elaeocarpus; Epacridaceae; Eucalyptus; Euphorbiaceae; Fabaceae; Faradaya; Ficus; Flindersia; Gleichenia; Gyrostemonaceae; Iridaceae; Joides Resolution; Leg133; Lonchocarpus; Lycopodium; Macaranga/Mallotus; Malvaceae; Melaleuca; Myriophyllum; Nothofagus brassii; Olea paniculata; Ophioglossum; Pandanus; Pellaea falcata; Pellaea paradoxa; Plantago; Poaceae; Podocarpus; Polypodiales; Potamogeton; Proteaceae; Rhizophora; Sample ID; Sapindaceae; Sapotaceae; Syzygium; Trema; Triglochin; Type of age model
    Type: Dataset
    Format: text/tab-separated-values, 4171 data points
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  • 8
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Caledonia_Fen; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Charcoal; Classical age-modeling approach, CLAM (Blaauw, 2010); DEPTH, sediment/rock; Sample ID; Type of age model; Unit
    Type: Dataset
    Format: text/tab-separated-values, 3640 data points
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  • 9
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Acacia; Acaena; Accumulation model; ACER; Aciphylla; Amperea; Amyema; Apiaceae; Aquatics; Aristolochia-type; Asperula; Astelia; Asteraceae; Atherosperma; Azolla; Banksia; Billardiera; Boraginaceae; Brassicaceae; Bursaria; Caledonia_Fen; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Callitris; Campanulaceae; Cardamine; Caryophyllaceae; Casuarina; Centaurium; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); Coniferophyta; Convolvulaceae; Coprosma; Correa; Counting, palynology; Culcita/Pteris; Cunoniaceae; Cyathea; Cyperaceae; Dacrycarpus; Dacrydium; Daviesia; DEPTH, sediment/rock; Dicksonia; Dodonaea; Drosera; Echium; Elodea; Epacridaceae; Epilobium; Eremophila; Eriostemon; Eucalyptus; Eucalyptus spathulata; Euphorbiaceae; Euphrasia; Fabaceae; Galium; Gentiana; Geraniaceae; Gleichenia; Gonocarpus; Goodeniaceae; Grammitis; Grevillea; Gyrostemonaceae; Haloragodendron; Hepaticae; Hibbertia; Histiopteris; Hydrocotyle; Isoetes; Lamiaceae; Lemna; Leptospermum lanigerum; Leucopogon; Liliaceae; Lomandra; Lomatia; Lycopodium australianum; Lycopodium deuterodensum; Lycopodium fastigiatum; Lycopodium scariosum; Malvaceae; Micrantheum; Microsorium; Microstrobos; Monotoca; Montia; Muehlenbeckia; Myoporaceae; Myriophyllum; Myrtaceae; Nertera; Notelaea; Nothofagus; Nothofagus brassii-type; Nothofagus cunninghamii; Ophioglossum; Oreomyrrhis; Orites; Oxalidaceae; Phaeoceros; Phebalium; Phyllocladus; Pimelea; Pinus; Pittosporaceae; Plantago; Poaceae; Podocarpaceae; Podocarpus; Pollen indeterminata; Polygonum; Polypodiales; Polyscias; Polystichum; Pomaderris; Poranthera; Portulacaceae; Pratia; Prostanthera; Prostanthera-type; Proteaceae; Pteridium; Ranunculaceae; Restionaceae; Rhamnaceae; Riccia; Rosaceae; Rumex; Rutaceae; Sambucus; Sample ID; Sauropus-type; Scrophulariaceae; Selaginella; Sphagnum; Spyridium; Stylidium; Tasmannia; Todea; Trachymene; Triglochin-type; Type of age model; Typha; Utricularia; Violaxanthin; Wahlenbergia; Xylomelum-type
    Type: Dataset
    Format: text/tab-separated-values, 69910 data points
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  • 10
    Publication Date: 2024-04-20
    Keywords: Abrupt Climate Changes and Environmental Responses; Acacia; Acaena; Accumulation model; ACER; Acmena; Aizoaceae; Amperea; Amyema; Apiaceae; Araliaceae; Araucariaceae; Asperula; Asteraceae; Baeckea; Banksia; Bauera; Beyeria; Boraginaceae; Boronia; Botrychium; Brassicaceae; Bursaria; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Callistemon; Calytrix; Caryophyllaceae; Casuarinaceae; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); Convolvulaceae; Coprosma; Correa; Counting, palynology; Cunoniaceae; Cupressaceae; Cyathea; Cynoglossum; Cyperaceae; Dampiera; DEPTH, sediment/rock; Dicksonia; Dodonaea; Elaeocarpaceae; Epacridaceae; Eucalyptus; Eucryphia; Euphorbiaceae; Exocarpos; Fabaceae; Gentiana; Geraniaceae; Gingidium-type; Gleichenia; Glischrocaryon; Goodeniaceae; Haloragaceae; Hibbertia; Histiopteris; Hybanthus; Hydrocotyle; Hypolepis; Isoetes; Kunzea; Lagarostrobus; Lake_Wangoom; Lamiaceae; Lemna; Leptospermum; Leucopogon; Liliaceae; LW87; Malvaceae; Melaleuca; Microsorium; Microstrobos; Monotoca; Montia; Muehlenbeckia; Myoporaceae; Myriophyllum; Nertera; Notelaea; Nothofagus brassii; Nothofagus cunninghamii; Olea paniculata; Onagraceae; Ophioglossum; Oreomyrrhis; Oxalis; Phaeoceros; Phyllanthus; Phyllocladus; Phytolaccaceae; Pimelea; Pinus; Pittosporaceae; Plantago; Poaceae; Podocarpaceae; Pollen indeterminata; Polypodiales; Polyscias; Pomaderris; Portulacaceae; Proteaceae; Pteridium; Pteris; Quintinia; Ranunculaceae; Rapanea-type; Restionaceae; Rhamnaceae; Ricciaceae; Rubiaceae; Rumex; Ruppiaceae; Rutaceae; Sambucus; Sample ID; Scrophulariaceae; Selaginella; Solanaceae; Sphagnum; Stylidium; Tasmannia; Tetratheca; Triglochin; Type of age model; Typha; Urticaceae; Villarsia; Wahlenbergia; Xanthorrhoea; Xanthosia
    Type: Dataset
    Format: text/tab-separated-values, 25070 data points
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