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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Climatic changes. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (373 pages)
    Edition: 1st ed.
    ISBN: 9780080507408
    DDC: 577/.14
    Language: English
    Note: Front Cover -- Global Biogeochemical Cycles in the Climate System -- Copyright Page -- Contents -- Contributors -- Foreword -- Preface -- Part 1: Introduction -- Chapter 1. Uncertainties of Global Biogeochemical Predictions -- 1.1 Introduction -- 1.2 The IGBP Transect Approach -- 1.3 Variability in Processes -- 1.4 Biome Approach and Functional Types -- 1.5 New Approaches to Functional Diversity -- 1.6 Conclusions -- References -- Chapter 2. Uncertainties of Global Climate Predictions, -- 2.1 Introduction -- 2.2 Observational Evidence -- 2.3 Physical Rationale -- 2.4 Response to Forcing of the Climate System -- 2.5 Results from Climate Change Prediction Experiments -- 2.6 Summary and Conclusions -- References -- Chapter 3. Uncertainties in the Atmospheric Chemical System, -- 3.1 Introduction -- 3.2 Synthetic View of Chemical Processes in the Troposphere -- 3.3 The IMAGES Model -- 3.4 Changes in the Chemical Composition of the Global Troposphere -- 3.5 Concluding Remarks -- References -- Chapter 4. Inferring Biogeochemical Sources and Sinks from Atmospheric Concentrations: General Consideration and Applications in Vegetation Canopies -- 4.1 Introduction -- 4.2 Scalar and Isotopic Molar Balances -- 4.3 Inverse Methods for Inferring Scalar Sources and Sinks in Canopies -- 4.4 Inverse Methods and Isotopes in Canopies -- 4.5 Summary and Conclusions -- Appendix A -- Appendix B -- References -- Chapter 5. Biogeophysical Feedbacks and the Dynamics of Climate -- 5.1 Introduction -- 5.2 Synergisms -- 5.3 Multiple Equilibria -- 5.4 Transient Interaction -- 5.5 Perspectives -- References -- Chapter 6. Land-Ocean-Atmosphere Interactions and Monsoon Climate Change: A Paleo-Perspective -- 6.1 Introduction -- 6.2 Response of the Monsoon to Orbital Forcing -- 6.3 Ocean Feedbacks on the Monsoon -- 6.4 Land-Surface Feedbacks on the Monsoon. , 6.5 Synergies between the Land, Ocean and Atmosphere -- 6.6 The Role of Climate Variability -- 6.7 Final Remarks -- References -- Chapter 7. Paleobiogeochemistry -- 7.1 Introduction -- 7.2 Methane -- 7.3 Carbon Dioxide -- 7.4 Mineral Dust Aerosol -- 7.5 Scientific Challenges Posed by the Ice-Core Records -- 7.6 Towards an Integrated Research Strategy for Palaeobiogeochemistry -- References -- Chapter 8. Should Phosphorus Availability Be Constraining Moist Tropical Forest Responses to Increasing CO2 Concentrations? -- 8.1 Introduction -- 8.2 Phosphorus in the Soils of the Moist Tropics -- 8.3 States and Fluxes of Phosphorus in Moist Tropical Forests -- 8.4 Linking the Phosphorus and Carbon Cycles -- References -- Chapter 9. Trees in Grasslands: Biogeochemical Consequences of Woody Plant Expansion -- 9.1 Introduction -- 9.2 Woody Plant Encroachment in Grasslands and Savannas -- 9.3 The La Copita Case Study -- 9.4 Degradation: Ecological Versus Socioeconomic -- 9.5 Implications for Ecosystem and Natural Resources Management -- 9.6 Summary -- References -- Chapter 10. Biogeochemistry in the Arctic: Patterns, Processes and Controls -- 10.1 Introduction -- 10.2 Tundra Organic Matter -- 10.3 Tundra Nutrients -- 10.4 Biogeochemical Responses to Experimental Ecosystem Manipulations -- 10.5 Summary -- References -- Chapter 11. Evaporation in the Boreal Zone During Summer-Physics and Vegetation -- 11.1 Introduction -- 11.2 Climate and Soil Water -- 11.3 Evaporation Theory -- 11.4 Evaporation During Summer and Rainfall -- 11.5 Forest Evaporation, Tree Life Form and Nitrogen -- 11.6 Conclusions -- References -- Chapter 12 Past and Future Forest Response to Rapid Climate Change -- 12.1 Introduction -- 12.2 Long-Distance Dispersal -- 12.3 Estimating Jump Distances -- 12.4 Interactions with Resident Vegetation - Constraints on Establishment. , 12.5 Interactions with Resident Vegetation - Competition for Light and Resulting Constraints on Population Growth -- 12.6 Conclusions -- References -- Chapter 13. Biogeochemical Models: Implicit vs. Explicit Microbiology -- 13.1 Introduction -- 13.2 Microbiology in Biogeochemical Models -- 13.3 Dealing with Microbial Diversity in Models -- 13.4 Kinetic Effects of Microbial Population Size -- 13.5 Microbial Recovery from Stress -- 13.6 Conclusions -- References -- Chapter 14. The Global Soil Organic Carbon Pool -- 14.1 Introduction: the Soil Carbon Pool and Global Change -- 14.2 Factors Affecting the Distribution of Soil Organic Carbon -- 14.3 Global Variations in the SOC Pool -- 14.4 The Limitations of Available Observational SOC Data -- 14.5 A Stratified Sampling Approach -- 14.6 Conclusions: Sandworld and Clayworld -- References -- Chapter 15. Plant Compounds and Their Turnover and Stability as Soil Organic Matter -- 15.1 Introduction -- 15.2 Pathways of Soil Organic Matter Formation -- 15.3 Stabilization of Soil Organic Matter -- 15.4 Turnover of Soil Organic Matter -- 15.5 Conclusion -- References -- Chapter 16. Input/Output Balances and Nitrogen Limitation in Terrestrial Ecosystems -- 16.1 Abstract -- 16.2 Long-term Nutrient Limitation -- 16.3 A Simple Model -- 16.4 Pathways of N Loss -- 16.5 Constraints to N Fixation -- 16.6 Conclusions -- References -- Chapter 17. Interactions Between Hillslope Hydrochemistry, Nitrogen Dynamics and Plants in Fennoscandian Boreal Forest -- 17.1 Introduction -- 17.2 A Historical Perspective -- 17.3 Nitrogen Supply and Forest Productivity in a Landscape Perspective: Hypotheses -- 17.4 Interactions Between Hydrochemistry, N Dynamics and Plants at Betsele - a Model System -- 17.5 Experimental Evidence -- 17.6 Conclusions -- References -- Chapter 18. The Cycle of Atmospheric Molecular Oxygen and its Isotopes. , 18.1 Introduction -- 18.2 Molecular Atmospheric Oxygen -- 18.3 The Stable Isotopes of Oxygen -- 18.4 Integrative Research Approach -- References -- Chapter 19. Constraining the Global Carbon Budget from Global to Regional Scales - the Measurement Challenge -- 19.1 Introduction -- 19.2 Present Status of Global C-Models -- 19.3 Global CO2-Measurements -- 19.4 The Global CO2-Measuring Network -- References -- Chapter 20. Carbon Isotope Discrimination of Terrestrial Ecosystems - How Well do Observed and Modeled Results Match? -- 20.1 Introduction -- 20.2 Experimental and Analytical Methods -- 20.3 Description of the Model -- 20.4 13C Signature of Ecosystem Respiration -- 20.5 Modeled Ecosystem Carbon Discrimination -- 20.6 Comparison of Observed and Modeled De Estimates -- 20.7 Ecophysiological Information of Δe -- 20.8 Conclusions -- References -- Chapter 21. Photosynthetic Pathways and Climate -- 21.1 Introduction -- 21.2 A Physiological Basis for C3/C4 Plant Distributions -- 21.3 A Brief History of Atmospheric Carbon Dioxide Levels -- 21.4 Recognizing the Presence of C3 and C4 Ecosystems in the Paleorecord -- 21.5 The Global Expansion of C4 Ecosystems -- 21.6 C3/C4 Dynamics During Glacial-Interglacial Periods -- 21.7 Photosynthetic Pathway Distribution in The Modern World -- 21.8 Photosynthetic Pathway Impacts Herbivores -- 21.9 Summary -- References -- Chapter 22. Biological Diversity, Evolution and Biogeochemistry -- 22.1 What Do We Have and What Are We Losing? -- 22.2 Do Species Losses Matter for Biogeochemical Cycling? -- 22.3 Kinds of Diversity -- 22.4 The Evolution of Functional Diversity -- 22.5 Cellulose -- 22.6 Evolution of Polyphenolic Compounds -- 22.7 The Build Up of Carbon and Evolution of Decomposers -- 22.8 Analysis of the Role of Diversity and Biogeochemistry -- 22.10 Summary -- References. , Chapter 23 Atmospheric Perspectives on the Ocean Carbon Cycle -- 23.1 Introduction -- 23.2 Long-term Mean Ocean Uptake -- 23.3 Interannual Variability -- 23.4 Summary and Conclusions -- References -- Chapter 24 International Instruments for the Protection of the Climate and Their National Implementation -- 24.1 Introduction -- 24.2 Commitments of States Parties Under the Climate Change Regime -- 24.3 Implementation Measures -- 24.4 Monitoring Compliance and Enforcement -- 24.5 The Kyoto Protocol as a Learning Treaty -- 24.6 Conclusions -- Chapter 25. A New Tool to Characterizing and Managing Risks -- 25.1 Introduction -- 25.2 Risk Evaluation and Risk Classification -- 25.3 Risk Management -- 25.4 Application to Environmental Risks of Substances -- 25.5 Some Conclusions for a Deliberative Process -- References -- Chapter 26. Contrasting Approaches: The Ozone Layer, Climate Change and Resolving The Kyoto Dilemma -- 26.1 Introduction: Apples and Oranges? -- 26.2 Montreal: An Unlikely Success Story -- 26.3 Lessons From The Ozone Layer -- 26.4 Climate Change: The Road to Rio -- 26.5 The Framework Convention on Climate Change -- 26.6 Tortuous Targets in Kyoto -- 26.7 When Will the Kyoto Protocol Enter Into Force? -- 26.8 Unlearned Lessons -- 26.9 Time To Move on: A longer Term Perspective -- 26.10 A Technology-based Strategy For The Future: Eight Points For Action -- References -- Chapter 27. Optimizing Long-Term Climate Management -- 27.1 Introduction -- 27.2 Global Environment and Society Models -- 27.3 Impulse-Response Climate Models -- 27.4 Optimizing CO2 Emissions -- 27.5 Conclusions -- References -- Subject Index.
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  • 2
    Book
    Book
    Amsterdam [u.a.] : Elsevier
    Keywords: Aufsatzsammlung ; Quartär ; Vergletscherung
    Type of Medium: Book
    Pages: 231 S. , Ill. graph. Darst., Kt. , 28 cm
    Series Statement: Quaternary international 138/139
    Language: English
    Note: Literaturangaben
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  • 3
    In: Quaternary international, Oxford [u.a.] : Pergamon Press, 1989, 138(2005), Seite 32-54, 1040-6182
    In: volume:138
    In: year:2005
    In: pages:32-54
    Type of Medium: Article
    ISSN: 1040-6182
    Language: Undetermined
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  • 4
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    PANGAEA
    In:  Supplement to: Hessler, Ines; Harrison, S P; Kucera, Michal; Waelbroeck, Claire; Chen, Min-Te; Anderson, Carin; de Vernal, Anne; Fréchette, Bianca; Cloke-Hayes, Angela; Leduc, Guillaume; Londeix, Laurent (2014): Implication of methodological uncertainties for mid-Holocene sea surface temperature reconstructions. Climate of the Past, 10(6), 2237-2252, https://doi.org/10.5194/cp-10-2237-2014
    Publication Date: 2023-03-03
    Description: We present and examine a multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST), based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst census counts. We assess the uncertainties originating from using different methodologies and evaluate the potential of MH SST reconstructions as a benchmark for climate-model simulations. The comparison between different analytical approaches (time frame, baseline climate) shows the choice of time window for the MH has a negligible effect on the reconstructed SST pattern, but the choice of baseline climate affects both the magnitude and spatial pattern of the reconstructed SSTs. Comparison of the SST reconstructions made using different sensors shows significant discrepancies at a regional scale, with uncertainties often exceeding the reconstructed SST anomaly. Apparent patterns in SST may largely be a reflection of the use of different sensors in different regions. Overall, the uncertainties associated with the SST reconstructions are generally larger than the MH anomalies. Thus, the SST data currently available cannot serve as a target for benchmarking model simulations.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
    Publication Date: 2023-01-13
    Description: Plant functional traits provide information about adaptations to climate and environmental conditions, and can be used to explore the existence of alternative plant strategies within ecosystems. Trait data are also increasingly being used to provide parameter estimates for vegetation models. Here we present a new database of plant functional traits from China. Most global climate and vegetation types can be found in China, and thus the database is relevant for global modelling. The China Plant Trait Database contains information on morphometric, physical, chemical and photosynthetic traits from 122 sites spanning the range from boreal to tropical, and from deserts and steppes through woodlands and forests, including montane vegetation. Data collection at each site was based either on sampling the dominant species or on a stratified sampling of each ecosystem layer. The database contains information on 1215 unique species, though many species have been sampled at multiple sites. The original field identifications have been taxonomically standardized to the Flora of China. Similarly, derived photosynthetic traits, such as electron-transport and carboxylation capacities, were calculated using a standardized method. To facilitate trait-environment analyses, the database also contains detailed climate and vegetation information for each site.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2023-01-13
    Keywords: China
    Type: Dataset
    Format: application/zip, 892.7 kBytes
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  • 7
    Publication Date: 2023-01-13
    Keywords: China
    Type: Dataset
    Format: application/zip, 312.2 kBytes
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  • 8
    Publication Date: 2024-02-13
    Keywords: 101; 108-658C; 13078-016; 160-964; 160-967D; 160-969; 160-969E; 160-973; 161-974; 161-975; 161-976C; 161-977; 162-984; 165-1002C; 165-999; 167-1012B; 167-1017E; 167-1019C; 175-1078C; 175-1084B; 184-1145; 2; 2004-804-009; 2005-804-004; 2005-804-006; 202-1233; 202-1240; 202-1242; 225514; 225517; 255; 3664N/S; 36C; 79US/Fr; 89; A-7; AD91-17; Adriatic Sea; AGE; Alboran Sea; also published as VM28-122; Angola Basin; Arabian Sea; Arctic Ocean; Atlantic Ocean; AUSCAN; B-3GC; Barrow Canyon; Bay of Bengal; BENGAL FAN; Benguela Current, South Atlantic Ocean; BOFS31/1K; BOFS31#1; BS79-33; BS79-38; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Canarias Sea; Caribbean Sea; CASQ; Cayman Rise, Caribbean Sea; CD159-12; CD53; Center for Marine Environmental Sciences; CEPAG; CH07-98-GGC19; CH69-K09; CH77-02; Charles Darwin; Chatham Rise; CHIPAL; CLIVAMPcruises; Cocos Ridge; Comment; COMPCORE; Composite Core; Congo Fan; D13882; D226; D249; De Soto Canyon; Discovery (1962); DRILL; Drilling/drill rig; E017; East Bight Fracture Zone; East China Sea, Pacific Ocean; Eastern Basin; East Pacific; Emperor Seamounts; Equatorial East Pacific; Event label; FAEGAS_IV; GC; GeoB10029-4; GeoB10038-4; GeoB1023-5; GeoB1710-3; GeoB1711; GeoB1711-4; GeoB1712-4; GeoB3129-1; GeoB3313-1; GeoB3910-2; GeoB4905-4; GeoB5546-2; GeoB5844-2; GeoB5901-2; GeoB6007-2; GeoB6518-1; GeoB7112-5; GeoB7139-2; GeoB7926-2; GEOSCIENCES, MARMARCORE; GGC; GGC-15-1; Giant box corer; Giant gravity corer; Giant piston corer; GIK16773-1; GIK17748-2; GIK17938-2; GIK17940-2; GIK17964-1; GIK18252-3; GIK18287-3; GIK23258-2; GIK23323-1; GINCO 3; GKG; GPC; Gravity corer; Gravity corer (Kiel type); Greenland Rise; Hakuho-Maru; Healy; Healy-Oden Trans-Arctic Expedition; HLY0501-05JPC; HM03-133-25; HOTLINE, HYGAPE; HOTRAX_2005; HU-2003-033-011; HU-84-030-021PC; HU-84-030-021TWC; HU-90-031-019; HU-90-031-044; HU90-13-013; HU-91-039-008; HU-91-045-072; HU-91-045-080; HU-91-045-085; HU91-045-094; HUD90/13; Hudson; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES IX - PAGE; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XIII - PECTEN; IMAGES XII - MARCO POLO; IN68-9; Indian Ocean; Indonesia; IOW225514; IOW225517; James Clark Ross; Jan Mayen; Jean Charcot; JM96; JM96-1207/1-GC; Joides Resolution; JOPSII-6; JR20000727; JR51; JR51GC-35; JT96-09; JT96-09PC; KAL; KAL20; KASTEN; Kasten corer; Kasten corer (1 m**2); Kasten corer 20 cm; KH-01-3; KH-01-3-19; KL; KL-74, AS-12; Knorr; KNR140; KNR140-2-51GGC; KNR140-51GGC; KNR176-2; KNR176-JPC32; KOL; KS310; Kurilen Trench; KY07-04-PC1; LAPAZ21P; LC21, LC-21; Leg108; Leg160; Leg161; Leg162; Leg165; Leg167; Leg175; Leg184; Leg202; Le Noroit; Le Suroît; LINK14; M20/2; M34/4; M35/1; M35003-4; M39/1; M39/1_08-3; M39008-3; M40/4; M40/4_SL78; M40/4_SL78-3; M40/4_SL80; M40/4_SL82; M41/1; M42/4b; M44/1; M44/1_71MC; M44/3; M45/1; M45/5a; M47/3; M53/1; M6/5; M6/6; M7/2; M7/4; Marge Ibérique; Marion Dufresne (1972); Marion Dufresne (1995); Marmara Sea; MARUM; Material; MD01-2334; MD012378; MD01-2378; MD012390; MD01-2390; MD012392; MD01-2392; MD012394; MD01-2394; MD012404; MD01-2404; MD012412; MD01-2412; MD012416; MD01-2416; MD01-2430; MD01-2443; MD022529; MD02-2529; MD022575; MD02-2575; MD032611G; MD03-2611G; MD03-2707; MD04-2747CQ; MD04-2797CQ; MD052904; MD05-2904; MD052928; MD05-2928; MD101; MD106; MD111; MD114; MD122; MD123; MD126; MD127; MD13; MD131; MD147; MD148; MD77-194; MD79-257; MD81; MD81-LC21; MD85674; MD94-103; MD952011; MD95-2011; MD952015; MD95-2015; MD952033; MD95-2033; MD952040; MD95-2040; MD952042; MD95-2042; MD952043; MD95-2043; MD972120; MD97-2120; MD972121; MD97-2121; MD972125; MD97-2125; MD972141; MD97-2141; MD972142; MD97-2142; MD972146; MD97-2146; MD972148; MD97-2148; MD972151; MD97-2151; MD982162; MD98-2162; MD982165; MD98-2165; MD982170; MD98-2170; MD982176; MD98-2176; MD982181; MD98-2181; MD982193; MD98-2193; MD992220; MD99-2220; MD99-2227; MD99-2251; MD99-2254; MD99-2269; MD99-2284; MD99-2346; ME0005A; ME0005A-24JC; Mediterranean Sea; Melville; Meteor (1986); MONITOR MONSUN; MR00-K03-PC01; MUC; MultiCorer; N.Iceland shelf, Reykjafjardarall; N. Shetland channel; NA87-22; Namibia continental slope; NEAP; NEAP-17K; NE-Brazilian continental margin; NEMO; Newfoundland margin; North Atlantic; Northeast Atlantic; Northeast Brasilian Margin; Northern Red Sea; North Pacific Ocean; North-West African margin; Northwest Atlantic; OCE326-GGC26; OCE326-GGC30; off Cameroon; off Chile; OSIRIS4; OSIRIS III; PABESIA; Pacific Ocean; PAKOMIN; PALAEOFLUX; Papua Plateau; PC; PC-17; PC-2; PC-4; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PL07-39PC; PL-96-112; Porto Seamount; Portuguese Margin; Professor Logachev; PUCK; RAPID-12-1K; RC24; RC24-16; Reference/source; Reykjanes Ridge; ride Calmar; RL11; RN88-PC5; RN92-PC3; RN92-PC4; RN93-PC1; RN93-PC3; RN93-PC4; RN93-PC6; RN94-PC3; RN96-PC1; Robert Conrad; Rockall; ROMANCHA; Sample code/label; SCS90-36; Sea of Marmara; Sea surface temperature, annual mean; Sea surface temperature, summer; Sea surface temperature, winter; Ship of opportunity; Sierra Leone Basin/Guinea Basin; SL; SO102/1; SO115; SO115_05; SO115_40; SO136; SO136_011GC; SO139; SO139-74KL; SO156/2; SO184/1; SO42; SO42-74KL; SO80_4; SO80a; SO90; SO90_93KL; SO93/3; SO93/3_126KL; SO95; Sonne; South Atlantic Ocean; South China Sea; South-East Pacific; Southern Ocean; Southern Okhotsk Sea; South Pacific Ocean; SSDP102; St.14; SU81-18; SUNDAFLUT; Sunda Shelf; TASQWA; TC; Timor Sea; Tirreno Sea; TN057-21; TR163-19; TR163-22; Trigger corer; TTR-17_MS419; TTR-17/1; TY93-905; upper Laurentien Island; V19; V19-27; V19-28; V19-30; V21; V21-30; V28; V28-122; V30; V30-36; Vema; Victor Hensen; Vietnam shelf; Voring Plateau; W8709A; W8709A-8TC; Wecoma; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 6357 data points
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  • 9
    Publication Date: 2024-02-02
    Keywords: 160-964A; 160-969A; 160-973A; 161-974B; 161-975B; Age, 14C AMS; Age, calibrated; Age, comment; Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Center for Marine Environmental Sciences; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eastern Basin; Event label; GeoB3129-1; GeoB5546-2; Gravity corer (Kiel type); Joides Resolution; JOPSII-6; KL; Leg160; Leg161; M40/4; M40/4_SL80; M40/4_SL82; M42/4b; MARUM; Meteor (1986); NE-Brazilian continental margin; Piston corer (BGR type); Sample code/label; SL; Tirreno Sea; Victor Hensen; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
    Publication Date: 2024-05-27
    Description: Quaternary records provide an opportunity to examine the nature of the vegetation and fire responses to rapid past climate changes comparable in velocity and magnitude to those expected in the 21st century. The best documented examples of rapid climate change in the past are the warming events associated with the Dansgaard-Oeschger (D-O) cycles during the last glacial period, which were sufficiently large to have had a potential feedback through changes in albedo and greenhouse gas emissions on climate. Previous reconstructions of vegetation and fire changes during the D-O cycles used independently constructed age models, making it difficult to compare the changes between different sites and regions. Here we present the ACER (Abrupt Climate Changes and Environmental Responses) global database which includes 93 pollen records from the last glacial period (73-15 ka) with a temporal resolution better than 1,000 years, 32 of which also provide charcoal records. A harmonized and consistent chronology based on radiometric dating (14C, 234U/230Th, OSL, 40Ar/39Ar dated tephra layers) has been constructed for 86 of these records, although in some cases additional information was derived using common control points based on event stratigraphy. The ACER database compiles metadata including geospatial and dating information, pollen and charcoal counts and pollen percentages of the characteristic biomes, and is archived in Microsoft ACCESS(TM).
    Keywords: Abrupt Climate Changes and Environmental Responses; ACER
    Type: Dataset
    Format: application/zip, 6 datasets
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