ALBERT

Note: Erscheinungsjahr in Vorlageform:1993-

Note: CONTENTS: 1 Concepts and Foundations of Remote Sensing. - 1.1 Introduction. - 1.2 Energy Sources and Radiation Principles. - 1.3 Energy Interactions in the Atmosphere. - 1.4 EnergyJnteractions with Earth Surface Features. - 1.5 Data Acquisition and Interpretation. - 1.6 Reference Data. - 1.7 The Global Positioning System. - 1.8 An Ideal Remote Sensing System. - 1.9 Characteristics of Real Remote Sensing Systems. - 1.10 Successful Application of Remote Sensing. - 1.11 Land and Geographic Information Systems. - 1.12 Organization of the Book. - Selected Bibliography. - 2 Elements of Photographic Systems. - 2.1 Introduction. - 2.2 Early History of Aerial Photography. - 2.3 Basic Negative-to-Positive Photographic Sequence. - 2.4 Film Exposure 2.5 Film Density and Characteristic Curves. - 2.6 Spectral Sensitivity of Black and White Films. - 2.7 Color Film. - 2.8 Color Infrared Film. - 2.9 Filters. - 2.10 Aerial Film Cameras. - 2.11 Film Resolution. - 2.12 Electronic Imaging. - 2.13 Aerial Videography. - 2.14 Multiband Imaging. - 2.15 Conclusion. - Selected Bibliography. - 3 Basic Principles of Photogrammetry. - 3.1 Introduction. - 3.2 Basic Geometric Characteristics of Aerial Photographs. - 3.3 Photographic Scale. - 3.4 Ground Coverage of Aerial Photographs. - 3.5 Area Measurement. - 3.6 Relief Displacement of Vertical Features. - 3.7 Image Parallax. - 3.8 Ground Control for Aerial Photography. - 3.9 Mapping with Aerial Photographs. - 3.10 Flight Planning. - 3.11 Conclusion. - Selected Bibliography. - 4 Introduction to Visual Image Interpretation. - 4.1 Introduction. - 4.2 Fundamentals of Visual Image Interpretation. - 4.3 Basic Visual Image Interpretation Equipment. - 4.4 Land Use/Land Cover Mapping. - 4.5 Geologic and Soil Mapping. - 4.6 Agricultural Applications. - 4.7 Forestry Applications. - 4.8 Rangeland Applications. - 4.9 Water Resource Applications. - 4.10 Urban and Regional Planning Applications. - 4.11 Wetland Mapping. - 4.12 Wildlife Ecology Applications. - 4.13 Archaeological Applications. - 4.14 Environmental Assessment. - 4.15 Principles of Landform Identification and Evaluation. - Selected Bibliography. - 5 Multispectral, Thermal, and Hyperspectral Sensing. - 5.1 Introduction. - 5.2 Across-Track Scanning. - 5.3 Along-Track Scanning. - 5.4 Operating Principles of Across-Track Multispectral Scanners. - 5.5 Example Along-Track Multispectral Scanner and Data. - 5.6 Across-Track Thermal Scanning. - 5.7 Thermal Radiation Principles. - 5.8 Interpreting Thermal Scanner Imagery. - 5.9 Geometric Characteristics of Across-Track Scanner Imagery. - 5.10 Geometric Characteristics of Along-Track Scanner- Imagery. - 5.11 Radiometric Calibration of Thermal Scanners. - 5.12 Temperature Mapping with Thermal Scanner Data. - 5.13 FLIR Systems. - 5.14 Hyperspectral Sensing. - 5.15 Conclusion. - Selected Bibliography. - 6 Earth Resource Satellites Operating in the Optical Spectrum. - 6.1 Introduction. - 6.2 Early History of Space Imaging. - 6.3 Landsat Satellite Program Overview. - 6.4 Landsat-1,-2, and-3. - 6.5 Landsat-4 and -5. - 6.6 Landsat-6 Planned Mission. - 6.7 Landsat-7. - 6.8 Landsat Image Interpretation. - 6.9 New Millennium Program. - 6.10 SPOT Satellite Program. - 6.11 SPOT-1,-2, and-3. - 6.12 SPOT-4. - 6.13 SPOT-5. - 6.14 SPOT Image Interpretation. - 6.15 Other Moderate Resolution Land Satellites. - 6.16 High Resolution Land Satellites. - 6.17 Hyperspectral Satellite Systems. - 6.18 Meteorological Satellites. - 6.19 Ocean Monitoring Satellites. - 6.20 Earth Observing System. - 6.21 Space Station Remote Sensing. - Selected Bibliography. - 7 Digital Image Processing. - 7.1 Introduction. - 7.2 Image Rectification and Restoration. - 7.3 Image Enhancement. - 7.4 Contrast Manipulation. - 7.5 Spatial Feature Manipulation. - 7.6 Multi-Image Manipulation. - 7.7 Image Classification. - 7.8 Supervised Classification. - 7.9 The Classification Stage. - 7.10 The Training Stage. - 7.11 Unsupervised Classification. - 7.12 Hybrid Classification. - 7.13 Classification of Mixed Pixels. - 7.14 The Output Stage. - 7.15 Postclassification Smoothing. - 7.16 Classification Accuracy Assessment. - 7.17 Data Merging and GIS Integration. - 7.18 Hyperspectral Image Analysis. - 7.19 Biophysical Modeling. - 7.20 Scale Effects. - 7.21 Image Transmission and Compression. - 7.22 Conclusion. - Selected Bibliography. - 8 Microwave Sensing. - 8.1 Introduction. - 8.2 Radar Development. - 8.3 Side Looking Radar System Operation. - 8.4 Synthetic Aperture Radar. - 8.5 Geometric Characteristics of Side-Looking Radar Imagery. - 8.6 Transmission Characteristics of Radar Signals. - 8.7 Other Radar Image Characteristics. - 8.8 Radar Image Interpretation. - 8.9 Radar Remote Sensing from Space. - 8.10 Seasat-1. - 8.11 Shuttle Imaging Radar. - 8.12 Almaz-1. - 8.13 ERS-1, ERS-2, and Envisat-1. - 8.14 JERS-1 and ALOS. - 8.15 Radarsat. - 8.16 LightSAR. - 8.17 Spaceborne Radar System Summary. - 8.18 Interferometric Radar. - 8.19 Planetary Exploration. - 8.20 Passive Microwave Sensing. - 8.21 Lidar. - Selected Bibliography. - Appendix. - Remote Sensing Data Sources. - Remote Sensing Periodicals. - Index.

Note: Contents: List of Figures. - List of Colour Illustrations. - List of Tables. - Contributors. - Foreword. - Map. - Introduction / Mark Nuttall and Terry V. Callaghan. - PART 1 THE PHYSICAL STRUCTURE AND PROCESSES OF THE ARCTIC. - 1. The geological development of the Arctic / Maurits Lindstrom. - 2. Glaciology / Martin J. Siegert and Julian A. Dowdeswell. - 3. Permafrost and hydrology / Ming-Koo Woo. - 4. Arctic oceanography, sea ice and climate / Norman Davis. - 5. Upper atmosphere physics and chemistry / Sheila Kirkwood. - 6. The weather and climate of the Arctic / Gunter Weller. - PART 2 LIFE SCIENCES IN THE ARCTIC. - 7. Marine biology: Biomass productivity distributions and their variability in the Barents and Bering Seas / Egil Sakshaug and John Walsh. - 8. Ecology of Arctic lakes and rivers / Warwick F. Vincent and John E. Hobbie. - 9. Biodiversity of terrestrial ecosystems / Nadya Matveyeva and Yuri Chernov. - 10. Arctic terrestrial ecosystems and ecosystem function / Sven Jonasson, Terry V. Callaghan, Gaius R. Shaver and Lena A. Nielsen. - 11. Arctic medical science / Bent Harvald and the late Jens Peder Hart Hansen. - 12. Physical anthropology of the Arctic / G. Richard Scott, Scott Legge, Robert W. Lane, Susan L. Steen and Steven R. Street. - PART 3 SOCIAL AND POLITICAL DIMENSIONS OF THE ARCTIC. - 13. Indigenous peoples, self-determination and the Arctic environment / Mark Nuttall. - 14. The social anthropology of the Russian Far North / Peter P. Schweitzer. - 15. Arctic geopolitics then and now / Sanjay Chaturvedi. - 16. The population of the circumpolar north / Gunnar Knapp. - 17. The political economy of renewable resource management in the Arctic / Richard A. Caulfield. - PART 4 ANTHROPOGENIC IMPACTS ON THE ARCTIC ENVIRONMENT: REGIONAL AND GLOBAL CONSEQUENCES AND POLICY RESPONSES. - 18. Integrated global change impact assessments / Manfred A. Lange. - 19. Ozone depletion and UV-B radiation / Edward De Fabo and Lars Olof Björn. - 20. Local and transboundary pollution / Lars Otto Reiersen. - 21. International co-operation in the Arctic environment / Clive Archer and David Scrivener. - 22. Indigenous peoples' organisations and Arctic environmental co-operation / Mark Nuttall. - Index.

Note: Enthaltener Beitrag: Russian-German Cooperation SYSTEM LAPTEV SEA 2000 : the expedition LENA 1999 / by the participants of the expedition edited by Volker Rachold and Mikhail N. Gregoriev , Enthaltener Beitrag: Eurasian ice sheets : German-Russian expedition Polar Ural '99 / Wolf-Dieter Hermichen, Annette Gierlichs, Frank Wischer and Dmitry Bolshiyanov , Contents for "Russian-German Cooperation SYSTEM LAPTEV SEA 2000 : the expedition LENA 1999" 1 lntroduction 2 Expedition Itinerary 2.1 Selection of working areas 2.2 General logistics and transport 2.3 Time tables of individual working groups 2.3.1 Team 1 a-C (Samoylov Island) 2.3.2 Team 2 a (Arga Island) 2.3.3 Team 2 b (RV Dunay) 2.3.3 Team 3 (Lyahkovsky Island) 2.3.4 Team 4 (Olenyokskaya Channel) 2.3.5 Team 5 (Bykovsky Peninsula) 2.4 Appendix Table A2-1: List of participants Table A2-2: Participating institutions 3 Modern Processes in Permafrost Affected Soils 3.1 General Introduction 3.2 The distribution of soils on Samoylov Island and other comparison sites of the Lena Delta 3.3 Thermal and hydrologic dynamics of the active layer 3.4 Seasonal variability of trace gas emission (CH4,CO2) and in situ process studies 3.4.1 Methode and field experiments 3.4.2 Preliminary Results 3.5 CO2 - Fluxes in permafrost affected soils 3.5.1 Team 1 A (winter) 3.5.1.1 Introduction 3.5.1.2 Field studies 3.5.2 Team 1 B (spring) 3.5.2.1 Introduction 3.5.2.2 Field studies 3.5.3 Team 1 C (summer) 3.5.3.1 lntroduction 3.5.3.2 Methods and first results of field work 3.5.4 Description of the sites and profiles 3.6 Monitoring for bird populations in the Lena Delta 3.6.1 Methods and materials 3.6.2 Results and discussion 3.7 References 3.8 Appendix Table A3-1: List of soil samples Table A3-2: Abundance of birds on the channels of Lena Delta in the nesting period (ind.110 km) Table A3-3: Abundance of birds on the channels of Lena Delta in the brood period (ind.110 km) Table A3-4: Abundance of birds on the channels of Lena Delta in the fall migration period (ind.110 km) 4 Coastal Processes in the Laptev Sea and the Environmental History of the Lena Delta 4.1 Introduction 4.2 Lake sediment studies on Arga Island 4.2.1 lntroduction 4.2.2 Samples and methods 4.2.3 Preliminary results 4.3 Coastal erosion studies in the Laptev Sea 43.1 lntroduction 4.3.2 Methods 4.3.3 Preliminary results 4.4 Geological-Geomorphological Studies in the Western and Central Sectors of the Lena Delta 4.4.1 Introduction 4.4.2 Methods 4.4.3 Study area 4.4.4 Results of the field studies 4.4.5 Preliminary conclusions 4.5 Observations of water level oscillations in the Olenyokskaya Channel 4.6 Aeolian sedimentation processes in the Lena Delta 4.7 References 4.8 Appendix Table A4-1: List of stations for lake sediment studies on Arga Island Table A4-2: List of samples for lake sediment studies on Arga Island Table A4-3: Boreholes temperature measurments in Nikolay Lake (Arga Island) and Ivashkina lagoon, May 1999 Table A4-4: List of stations for coastal erosion studies Table A4-5: List of samples for coastal erosion studies Table A4-6: Water temperature profiles (°C) along the Laptev Sea coast Table A4-7: Hydrometeorological characteristics along the Laptev Sea coast (bottom water temperature - Tb, air temperature -Ta) Table A4-8: List of samples for Geological-Geomorphological Studies in the Lena Delta Table A4-9: Bone samples for Geological-Geomorphological Studies in the Lena Delta 5 Paleociimate Signals of Ice-rich Permafrost 5.1 Quaternary deposits of Big Lyakhovsky Island 5.1.1 lntrorfuction 5.1.2 Genlogical-geomorphological situation 5.1.3 Methods of field studies 5.1.4 Description of the outcrop 5.1.5 Cryolithological and sedimentological studies 5.1.6 Geochronometric age determination 5.1.7 Thermokarst processes 5.1.8 Ground ice and water 5.1.9 Paleontological research at the southern coast of Bol'shoy Lyakhovsky Island 5.1.10 Recent and fossil soils 5.1.11 Trip to Khaptagai Tas hills - study of recent Snow patch phenomena 5.2 Ice Complex On Bykovsky Peninsula 5.2.1 Research aims 5.2.2 Site survey and geomorphologic observations 5.2.3 Sampling sites 5.2.4 Stratigraphie and sedimentological observations 5.2.5 Cryolithological observations 5.2.6 The sampling methods and the samples collected 5.2.7 Mammal bone collecting 5.2.8 Conclusion 5.3 References 5.4 Appendix A5-1 : Profile map of sample positions (German version) A5-1-1 : Legend A5-2: Profile map (Russian version) A5-2-1: Schematic profile of permafrost deposits . South coast of Bol'shoy Lyakhovsky Island A5-2-2: Bol'shoy Lyakhovsky Island. south coast. R-side exposure A5-2-3: Bol'shoy Lyakhovsky Island. south coast. L-side exposure A5-3: List of sediment samples collected on Bol'shoy Lyakhovsky Island A5-4: List of OSL-samples A5-5: List of alas samples A5-6: List of water and ice samples collected on Bol'shoy Lyakhovsky island during field season 1999 A5-7: List of bone samples A5-8: List of small fossil samples (rodents, insects, ostracodes, seeds) A5-9: List of peat samples for botanical analysis A5-10: List of mollusc samples A5-11: List of sarnples for paleomagnetics A5-12: Description of soll profiles A5-13: List of samples collected by the Bykovsky team at the upper part of MKh main section in 1999 A5-14: The composition of the marnrnal bone collection (Bykovsky Peninsula. 1999) A5-15: Mammal bones, found in 1999 within the Mamontova Khayata cliff (Bykovsky Peninsula)

Note: Contents Preface 1. Introduction 1.1 The problem of scale transfer 1.2 Aims and scope 1.3 Definitions 1.4 Contents of this book 2. Upscaling 2.1 A classification of upscaling methods 2.2 Averaging of observations or output variables 2.2.1 Exhaustive Information 2.2.2 Design based methods 2.2.3 Geostatistical prediction 2.2.4 Deterministic functions 2.2.5 Combinations and auxiliary information 2.3 Finding representative parameters or input variables 2.3.1 Exhaustive information 2.3.2 Deterministic functions 2.3.3 Indirect stochastic methods 2.3.4 Direct stochastic methods 2.3.5 Inverse modelling 2.4 Averaging of model equations 2.4.1 Deterministic: temporal or volume averaging 2.4.2 Stochastic: ensemble averaging 2.5 Model simplification 2.5.1 Lumped conceptual modelling 2.5.2 Meta-modelling 3. Downscaling 3.1 A classification of downscaling methods 3.2 Empirical functions 3.2.1 Deterministic functions 3.2.2 Conditional stochastic functions 3.2.3 Unconditional stochastic functions 3.3 Mechanistic models 3.3.1 Deterministic functions 3.3.2 Conditional stochastic functions 3.3.3 Unconditional stochastic functions 3.4 Fine scale auxiliary information 3.4.1 Deterministic functions 3.4.2 Conditional stochastic functions 3.4.3 Unconditional stochastic functions 4. A simple DSS for upscaling and downscaling 4.1 Purpose and philosophy of the DSS 4.2 Functionality and options at startup 4.3 Definition of the research chain over the scales 4.3.1 Define a new research chain 4.3.2 Modify parts of research chain 4.4 Enter the DSS from the research chain 4.5 DSS Upscaling and Downscaling Appendix: Random Variables and Stochastic Functions Glossary Contents References Index

Note: Contents: Preface. - Acknowledgements. - Summary poem. - Introduction. - 1. Oceanic freshwater fluxes in the climate system / Anders Stigebrandt. - 2. Global atmospheric circulation patterns and relationships to Arctic freshwater fluxes / J. E. Walsh. - 3. Atmospheric components of the Arctic Ocean freshwater balance and their interannual variability / R. G. Barry and M. C. Serreze. - 4. Hydroclimatology of the Arctic drainage basin / L. C. Bowling, D. P. Lettenmaier and B. V. Matheussen. - 5. The Arctic Ocean's freshwater budget: sources, storage and export / Eddy C. Carmack. - 6. The Arctic ocean freshwater budget of a climate general circulation model / Howard Cattle and Douglas Cresswell. - 7. Atmospheric components of the Arctic Ocean bydrologic budget assessed from Rawinsonde data / M. C. Serreze and R. G. Barry. - 8. Reanalyses depictions of the Arctic atmospheric moisture budget / D. H. Bromwich, R. I. Cullather and M. C. Serreze. - 9. Moisture transport to Arctic drainage basins relating to significant precipitation events and cyclogenesis / John R. Gyakum. - 10. Atmospheric climate models: simulation of the Arctic Ocean fresh water budget components / V. M. Kattsov, J. E. Walsh, A. Rinke and K. Dethloff. - 11. Discharge observation networks in Arctic regions: computation of the river runoff into the Arctic Ocean, its seasonality and variability / W. E. Grabs, F. Portmann and T. de Couet. - 12. Arctic river flow: a review of contributing areas / I. A. Shiklomanov, A. I. Shiklomanov, R. B. Lammers, B. J. Peterson and C. J. Vorosmarty. - 14. River input of water, sediment, major ions, nutrients and trace metals from Russian territory to the Arctic Ocean / V. V. Gordeev. - 15. The dispersion of Siberian river flows into coastal waters: meteorological, hydrological and hydrochemical aspects / I. P. Semiletov, N. I. Savelieva, G. E. Weller, I. I. Pipko, S. P. Pugach, A. Yu. Gukov and L. N. Vasilevskaya. - 16. The variable climate of the Mackenzie River basin: its water cycle and fresh water discharge / R. E. Stewart. - 17. Arctic estuaries and ice: a positive-negative estuarine couple / R. W. Macdonald. - 18. Satellite views of the Arctic Ocean freshwater balance / D. A. Rothrock, R. Kwok and D. Groves. - 19. Tracer studies of the Arctic freshwater budget / P. Schlosser, B. Ekwurzel, S. Khatiwala, B. Newton, W. Maslowski and S. Pfirman. - 20. Exchanges of freshwater through the shallow straits of the North American Arctic / Humfrey Melling. - 21. The transformations of Atlantic water in the Arctic Ocean and their significance for the freshwater budget / Bert Rudels and Hans J. Friedrich. - 22. Modelling the variability of exchanges between the Arctic Ocean and the Nordic seas / Rüdiger Gerdes. - 23. Sea ice growth, melt and modeling: a survey / Michael Steele and Gregory M. Flato. - 24. Fresh water freezing/melting cycle in the Arctic Ocean / G. V. Alekseev, L. V. Bulatov and V. F. Zakharov. - Colour plates. - Subject index.

Note: Contents: ACKNOWLEDGEMENTS. - GENERAL PART. - Introduction. - Area covered. - Abbreviations, scale bars and arrows. - Material examined. - General structure of the podocopid Ostracoda. - Carapace. - Appendages. - Exo- and endoskeleton. - Respiration and blood circulation. - Digestive and nervous systems, eyes and excretory glands. - Reproduction. - Reproductive organs. - Structure of the sperm. - Reproductive modes. - The biological species concept and clonal taxonomy. - Development. - Ecology. - Terminology. - Life histories. - Food and prédation. - Dispersal abilities. - Fossil record. - The utility of the Ostracoda in (palaeo)ecology and evolution. - Ostracon, IRGO, CYPRIS, ISO, and EOM. - The Index and Bibliography of Nonmarine Ostracoda. - NODE - Nonmarine Ostracod Distribution in Europe. - Practical methods. - Previous faunistic synopses and checklists. Numbers of species recorded. - Classification of the Ostracoda. - Diagnosis of the Podocopida. - Evolutionary origin of non-marine Ostracoda. - Classification of the Podocopida. - SYSTEMATIC RECORD OF SPECIES. - Superfamily DARWINULOIDEA Brady &Norman, 1889. - Family Darwinulidae Brady & Norman, 1889. - Genus Darwinula Brady & Robertson, 1885. - 1. Darwinula stevensoni (Brady & Robertson,1870). - Genus Penthesilenula Rossetti & Martens, 1998. - 1. Penthesilenula brasiliensls (Pinto & Kotzian, 1961). - Superfamily CYPRIDOIDEA s. str. Baird, 1845. - Family Candonidae Kaufmann, 1900. - Subfamily Candoninae Kaufmann, 1900. - Genus Paracandona Hartwig, 1899. - 1. Paracandona euplectella (Robertson, 1889). - Genus Nannocandona Ekman, 1914. - 1. Nannocandona faba Ekman, 1914. - Genus Candona s. str. Baird, 1845. - 1. Candona Candida (O.F. Müller, 1776). - 2. Candona weltneri Hartwig, 1899. - 3. Candona sanociensis Sywula, 1971. - 4. Candona improvisa Ostermeyer, 1937. - 5. Candona neglecta Sars, 1887. - 6. Candona lindneri Petkovski, 1969. - 7. Candona meerfeldiana Scharf, 1983. - 8. Candona muelleri Hartwig, 1899. - 9. Candona angulata Müller, 1900. - Genus Fabaeformiscandona Krstic, 1972. - 1. Fabaeformiscandona fabaeformis (Fischer, 1851). - 2. Fabaeformiscandona holzkampfi (Hartwig, 1900). - 3. Fabaeformiscandona alexandri (Sywula, 1981). - 4. Fabaeformiscandona fragilis (Hartwig, 1898). - 5. Fabaeformiscandona angusta (Ostermeyer, 1937). - 6. Fabaeformiscandona tyrolensis (Löffler, 1963) nov. comb. - 7. Fabaeformiscandona brisiaca (Klie, 1938). - 8. Fabaeformiscandona fabella (Nüchterlein, 1969). - 9. Fabaeformiscandona balatonica (Daday, 1894). - 10. Fabaeformiscandona acuminata (Fischer, 1851). - 11. Fabaeformiscandona caudata (Kaufmann, 1900). - 12. Fabaeformiscandona siliquosa (Brady, 1910). - 13. Fabaeformiscandona tricicatricosa(Diebel & Pietrzeniuk, 1969). - 14. Fabaeformiscandona loz.eki (Absolon, 1973) nov. comb. - 15. Fabaeformiscandona levanderi (Hirschmann, 1912). - 16. Fabaeformiscandona hyalina (Brady & Robertson, 1870). - 17. Fabaeformiscandona protzi (Hartwig, 1898). - 18. Fabaeformiscandona brevicornis (Klie, 1925). - 19. Fabaeformiscandona wegelini (Petkovski, 1962). - 20. Fabaeformiscandona latens (Klie, 1940). - 21. Fabaeformiscandona breuili (Paris, 1920) nov. comb. - 22. Fabaeformiscandona bilohata (Klie, 1938). - 23. Fabaeformiscandona bilobatoides (Löffler, 1961). - Genus Schellencandona Meisch, 1996. - 1. Schellencandona schellenhergi (Klie, 1934). - 2. Schellencandona insueta (Klie, 1938). - 3. Schellencandona belgica (Klie, 1937). - 4. Schellencandona triquetra (Klie, 1936). - Genus Pseudocandona Kaufmann, 1900. - 1. Pseudocandona zschokkei (Wolf, 1920). - 2. Pseudocandona marchica (Hartwig, 1899). - 3. Pseudocandona rostrata (Brady & Norman, 1889). - 4. Pseudocandona sarsi (Hartwig, 1899). - 5. Pseudocandona hartwigi (G.W. Müller, 1900). - 6. Pseudocandona lobipes (Hartwig, 1900). - 7. Pseudocandona stagnalis (Sars, 1890). - 8. Pseudocandona semicognita (Schäfer, 1934). - 9. Pseudocandona eremita (Vejdovsky, 1882). - 10. Pseudocandona szoecsi (Farkas, 1958). - 11. Pseudocandona insculpta (G.W. Müller, 1900). - 12. Pseudocandona compressa (Koch, 1838). - 13. Pseudocandona sucki (Hartwig, 1901). - 14. Pseudocandona pratensis (Hartwig, 1901). - 15. Pseudocandona albicans (Brady, 1864). - Genus Cryptocandona Kaufmann, 1900. - 1. Cryptocandona vavrai Kaufmann, 1900. - 2. Cryptocandona kieferi (Klie, 1938). - 3. Cryptocandona reducta (Alm, 1914). - 4. Cryptocandona phreaticola (Klie, 1927). - 5. Cryptocandona leruthi (Klie, 1936). - 6. Cryptocandona dudichi (Klie, 1930). - Genus Mixtacandona Klie, 1938. - 1. Mixtacandona laisi (Klie, 1938). - 2. Mixtacandona transleithanica (Löffler, 1960). - 3. Mixtacandona spandli Rogulj & Danielopol, 1993. - Genus Candonopsis Vavra, 1891. - 1. Candonopsis kingsleii (Brady & Robertson, 1870). - 2. Candonopsis scourfieldi Brady, 1910. - Subfamily Cyclocypridinae Kaufmann, 1900. - Genus Cypria Zenker, 1854. - 1. Cypria exsculpta (Fischer, 1855). - 2. Cypria ophtalmica (Jurine, 1820). - 3. Cypria subsalsa Redeke, 1936. - 4. Cypria sywulae nom. nov. - 5. Cypria reptans Bronshtein, 1928. - Genus Physocypria Vavra, 1897. - 1. Physocypria kraepelini G.W. Müller, 1903. - Genus Cyclocypris Brady & Norman, 1889. - 1. Cyclocypris globosa (Sars, 1863). - 2. Cyclocypris serena (Koch, 1838). - 3. Cyclocypris laevis (O.F. Müller, 1776). - 4. Cyclocypris ovum (Jurine, 1820). - 5. Cyclocypris helocrenica Fuhrmann & Pietrzeniuk, 1990. - Family Ilyocyprididae Kaufmann, 1900. - Subfamily Ilyocypridinae Kaufmann, 1900. - Genus Ilyocypris Brady & Norman, 1889. - 1. Ilyocypris gibba (Ramdohr, 1808). - 2. Ilyocypris monstrifica (Norman, 1862). - 3. Ilyocypris decipiens Masi, 1905. - 4. Ilyocypris bradyi Sars, 1890. - 5. Ilyocypris inermis Kaufmann, 1900. - 6. Ilyocypris lacustris Kaufmann, 1900. - 7. Ilyocypris getica Masi, 1906. - Family Notodromadidae Kaufmann, 1900. - Subfamily Notodromadinae Kaufmann, 1900. - Genus Notodromas Lilljeborg, 1853. - 1. Notodromas monacha (O.F. Müller, 1776). - 2. Notodromas persica Gurney, 1921. - Subfamily Cyproidinae Hartmann, 1963. - Genus Cyprois Zenker, 1854. - 1. Cyprois marginata (Straus, 1821). - Family Cyprididae Baird, 1845. - Subfamily Cypridinae Baird, 1845. - Genus Cypris O.F. Müller, 1776. - 1. Cypris pubera O.F. Müller, 1776. - 2. Cypris bispinosa Lucas, 1849. - 3. Cypris striata (Jurine, 1820). - Subfamily Eucypridinae Bronshtein, 1947. - Genus Eucypris Vâvra, 1891. - 1. Eucypris virens (Jurine, 1820). - 2. Eucypris kerkyrensis Stephanides, 1937. - 3. Eucypris moravica Jancaffk, 1947. - 4. Eucypris lilljeborgi (G.W. Müller, 1900). - 5. Eucypris elliptica (Baird, 1846). - 6. Eucypris crassa (O.F. Müller, 1785). - 7. Eucypris anglica Fox, 1967. - 8. Eucypris pigra (Fischer, 1851). - Genus Koencypris n. gen. - 1. Koencypris ornata (O.F. Müller, 1776). - Genus Prionocypris Brady & Norman, 1896. - 1. Prionocypris zenkeri (Chyzer & Toth, 1858). - Genus Tonnacypris Diebel & Pietrzeniuk, 1975. - 1. Tonnacypris lutaria (Koch, 1838). - Genus Trajancypris Martens, 1989. - 1. Trajancypris serrata (G.W. Müller, 1900). - 2. Trajancypris clavata (Baird, 1838). - 3. Trajancypris laevis (G.W. Müller, 1900). - Subfamily Cypricercinae McKenzie, 1971. - Genus Bradleycypris McKenzie,1982. - 1. Bradleycypris obliqua (Brady, 1868). - Genus Bradleystrandesia Broodbakker, 1983. - 1. Bradleystrandesia fuscata (Jurine, 1820). - 2. Bradleystrandesia reticulata (Zaddach, 1844). - 3. Bradleystrandesia hirsuta (Fischer, 1851). - Subfamily Herpetocypridinae Kaufmann, 1900. - Genus Herpetocypris Brady & Norman, 1889. - 1. Herpetocypris reptans (Baird, 1835). - 2. Herpetocypris brevicaudata Kaufmann, 1900. - 3. Herpetocypris chevreuxi (Sars, 1896) 4. Herpetocypris helenae G.W. Müller, 1908. - 5. Herpetocypris interm

Note: Contents Introduction 1 Climatic System: Data, Processes, Scales, and Deterministic Models 1.1 Main Components of the Climate System 1.1.1 "Thick" Subsystems 1.1.2 "Thin" Subsystems 1.1.3 Local and Discrete Objects 1.2 Climate Processes 1.2.1 Overview of Climate Processes 1.2.2 External Climate Mechanisms 1.2.3 Internal Mechanisms of Climatie Variations 1.2.4 Transfer-Accumulation Processes 1.3 Scales of Climatic Variability 1.3.1 Spatial Scales 1.3.2 Temporal Scales 1.4 Deterministic Climate Models 1.4.1 General Circulation Models and Coupled Models 1.4.2 Other Types of Climate Models 1.5 Observational Basis for Stochastic Climate Theory 1.5.1 Data on Variability of "Thick" Climatic Subsystems 1.5.1.1 Near-Surface Air Temperature 1.5.1.2 Other Atmospheric Variables 1.5.1.3 Sea Surface Temperature 1.5.1.4 Sea Level 1.5.1.5 lce Sheets 1.5.2 Data on Variables of Thin Earth Covers 1.5.2.1 Snow Cover 1.5.2.2 Sea lce 1.5.2.3 Vegetation Cover 1.5.3 Data on Discrete and Local Climatic Objects 1.5.3.1 River Runoff 1.5.3.2 Lakes 1.5.3.3 Mountain Glaciers 1.5.4 Conclusions on Observational Data 2 Theoretical Foundations of the Stochastic Approach to Climate Variability Studies 2.1 Basic Ideas and Principles of the Stochastic Climate Theory 2.1.1 Mathematical Models and Natural Processes 2.1.2 A Climatic Variable as a Random Variable 2.1.3 Evolution of a Climatic Variable as a Random Function 2.1.4 Stationarity of Climatic Processes 2.2 Introduction to the Theory of Random Functions with Emphasis on Climate Variability 2.2.1 Moments, Mean Value, Correlation Function 2.2.2 The Ergodicity of Climate Variability 2.2.3 Examples of Stationary Random Sequences 2.2.3.1 Uncorrelated Random Variables 2.2.3.2 Moving Averages 2.2.4 Spectral Representation of the Random Process 2.2.5 Climatic Meanings of the Spectral Distribution Function 2.2.6 Spectral Representation of Stationary Sequences 2.2.7 The Markov Sequence 2.2.8 The Discrete Wiener Process 2.2.9 Other Types of Random Functions 2.2.9.1 Autoregressive Models 2.2.9.2 Seasonal Models 2.2.9.3 Threshold Models 2.3 Estimation of Model Parameters 2.3.1 Theoretical Models and the Practice of Model Identification 2.3.2 Informational Approach to the Identification of Stochastic Models 2.3.3 Maximum Entropy Method and Autoregressive Models 2.3.4 Model Identification and Estimation of Model Parameters 2.3.5 An Example ofModel Identification and Parameter Estimation 2.3.6 Frequency Truncation Method of Normalized Spectral Estimates 2.3.7 Other Methods of Time Series Processing 2.3.7.1 Conventional Methods. Moving Average and ARMA models 2.3.7.2 "Deterministic Chaos". Other Methods of Nonlinear Analysis 2.4 Physical Basis of the Stochastic Climate Theory 2.4.1 Atmospheric Forcing ofthe Climate System 2.4.1.1 Observational Evidence 2.4.1.2 Atmospheric Model Results 2.4.1.3 Simple Nonlinear Model as Analog of Atmospheric Forcing 2.4.2 Hasselmann's Stochastic Climate Models 2.4.2.1 Hypothesis on Weather-Climate Two-Scale Separation 2.4.2.2 Classification of Climate Models 2.4.2.3 Analogies with Turbulent Fluid, Brownian Motion, and Other Physical Processes. The Central Limit Theorem 2.4.2.4 Spectra and Correlation Functions of the Stochastic Climate Models. Models Without Feedback 2.4.2.5 Models with Feedback 3 Stochastic Models of Recent Climatic Changes 3.1 Changes in Thick Climatic Subsystems 3.1.1 Local Changes 3.1.1.1 Analysis of Observational Data 3.1.1.2 Local Stochastic Dynamical Models 3.1.2 Regional, Spatially Averaged, and Two-Dimensional Patterns 3.1.2.1 20 Stochastic Patterns of Observational Data 3.1.2.2 Stochastic Dynamical Regional Models 3.1.2.3 Stochastic Models of ENSO Events 3.1.3 Globally Averaged Climate Variables 3.1.3.1 Global Water Mass Exchange. Global Mean Sea Level 3.1.3.2 Global Temperatures 3.1.3.3 "Minus Two" Law of Climatic Variability 3.1.3.4 Stochastic Dynamical Models of Global Temperatures 3.1.3.5 Local-Global Polarization Phenomenon 3.2 Variabilities of Thin Climatic Subsystems 3.2.1 Analyzed Oata 3.2.1.1 37 GHz Polarization Oifference and Related Data 3.2.1.2 Snow and Sea lce Remotely Sensed Data 3.2.1.3 Related Satellite-Based and Conventional Data on Global Air and Sea Temperatures 3.2.2 Comparison of Results for Remotely Sensed and Conventional Data 3.2.2.1 Comparison of Results on Local Scales 3.2.2.2 Globally Averaged 37 GHz Polarization Difference Data. Concentration of Carbon Dioxide in the Atmosphere 3.2.3 Results of Stochastic Analysis of Local and Regional Hydrological Changes 3.2.3.1 Results of 37 GHz PD Data Analysis for Floodable Areas 3.2.3.2 Results for 37 GHz PD Data on Vegetation Cover in Different Natural Zones 3.2.4 Results of Analysis of Global Changes in Hydrological and Related Parameters 3.2.5 Modeling the Dynamics of Thin Subsystems 3.2.6 Local-Global Polarization Phenomenon and Thin Climatic Subsystems 3.2.7 Discussion on the Global Climatic Subsystems 3.3 Changes in Local and Discrete Climatic Objects 3.3.1 Rivers and River Runoff 3.3.2 Mountain Glaciers 4 Stochastic Models for Glacial Cycles 4.1 Stochastic Analysis of Reconstructed Data on Glacial Cycles 4.1.1 Existing Paleoreconstructed Time Series 4.1.2 Results of Stochastic Analysis of the Last Deglaciation Period, 0 - 18 ka B.P. 4.1.3 Analysis of 200 - 300 ka Time Series 4.1.4 Longer Time Series. Features of Cyclicity 4.1.5 High Resolution Paleorecords 4.2 Zero-Dimensional Model of Glacial Cycles 4.2.1 Hypotheses, Assumptions, and Equations 4.2.2 Results of Numerical Experiments 4.3 Two-Dimensional Stochastic Dynamical Model of Glacial Cycles 4.3.1 Mathematical Model, Parameters, and Experiments 4.3.1.1 Computational Area 4.3.1.2 Equations and Parameters of the Model 4.3.1.3 Numerical Experiments 4.3.2 Results 4.3.2.1 Experiments Without External Forcing 4.3.2.2 Experiments With External Forcing. Globally Averaged Results 4.3.2.3 Zonally Averaged Results 4.3.2.4 Regional Results Conclusion References Index

Note: Zugleich.: Dissertation, Technische Hochschule Zürich, 1999 , Contents: Acknowledgement. - Abstract. - Zusammenfassung. - 1 Introduction. - 1.1 Objectives of this study. - 1.2 Previous woik on sensitivity. - 1.3 Definition and measurement of surface albedo. - 1.4 Main characteristics of surface albedo. - 1.5 The importance of albedo in the climate system. - 2 Observational data. - 2. L Global data. - 2.2 ln-situ snow cover observation. - 3 Validation of ECHAM4. - 3.1 Introduction. - 3.2 Precipitation. - 3.3 Surface temperature. - 3.4 Snow water equivalent. - 3.5 Surface albedo. - 4 Assessment of the ECHAM and EM land surface schemes in an off-line mode. - 4.1 Introduction. - 4.2 Comparison of the land surface schemes of ECHAM and EM. - 4.2.1 Soil temperature and soil heat flux. - 4.2.2 Soil hydrology. - 4.2.3 Prediction of surface albedo and snow processes. - 4.2.4 Parameterization of water vapour fluxes. - 4.2.5 Parameterization of boundary layer transport. - 4.3 Comparison of the sensitivities of ECHAM and EM. - 4.3.1 Control simulations. - 4.3.2 Sensitivity to the roughness length. - 4.3.3 Sensitivity to the leaf area index. - 4.3.4 Sensitivity to the vegetation ratio. - 4.3.5 Sensitivity to the background surface albedo. - 4.3.6 Sensitivity to the snow albedo. - 4.3.7 Sensitivity to the maximum soil water content. - 4.4 Assessment of the surface climate in ECHAM and EM. - 4.5 Diurnal cycles of surface variables in the ECHAM and EM control experiments. - 4.6 Comparison of the ECHAM- and EM-parameterizations with other parameterization formulae. - 4.6.1 Bare soil evaporation. - 4.6.2 Stability function. - 4.7 Comparison of the ECHAM3 and ECHAM4 land surface schemes. - 4.8 Comparison between off-line model simulation with Russian sites. - 4.9 Summary and conclusions. - 5 3-dimensional ECHAM4 simulations. - 5.1 EXP1: Snow cover fraction deduced from global datasets. - 5.1.1 Overview of modifications. - 5.1.2 Parameterization of snow cover fraction. - 5.1.3 Derivation of a snow cover expression using satellite data. - 5.1.4 Results from the 3-D experiment. - 5.2 EXP2: Snow cover fraction formula as implemented in the Météo-France climate model. - 5.2.1 Overview of modifications. - 5.2.2 Results from the 3-D experiment. - 5.3 EXP3: Polynomial temperature dependence of snow albedo. - 5.3.1 Overview of modifications. - 5.3.2 Polynomial relationship between temperature and snow albedo. - 5.3.3 Results from the 3-D experiment. - 5.4 EXP4: Splitting of the total surface albedo into its VIS- and NIR-component. - 5.4.1 Overview of modifications. - 5.4.2 Spectral albedos for snow and ice conditions. - 5.4.3 Results from the 3-D experiment. - 5.5 EXP5: Incorporation of the BATS parameterization for snow albedo. - 5.5.1 Overview of parameterizations incorporating a snow age factor. - 5.5.2 Overview of modifications. - 5.5.3 Ratio of diffuse/direct radiation. - 5.5.4 Results from the 3-D experiment. - 5.6 EXP6: Annual cycle of the LAI. - 5.6.1 Overview of modifications. - 5.6.2 Compilation of global LAI datasets. - 5.6.3 Results from the 3-D experiment. - 5.7 EXP7: Albedo of snow covered forests and a simple snow interception model. - 5.7.1 Overview of modifications. - 5.7.2 Radiation transfer canopy models. - 5.7.3 Surface albedo of snow covered canopy in CLASS. - 5.7.4 Snow interception on canopies. - 5.7.5 Results from the 3-D experiment. - 5.8 EXP8: Modification of snowflakes' melt temperature. - 5.8.1 Overview of modifications. - 5.8.2 Snow-rain criteria. - 5.8.3 Results from the 3-D experiment. - 5.9 EXP9: Dependence of surface albedo on soil moisture. - 5.9.1 Overview of modifications. - 5.9.2 Relationships between bare soil albedo and soil moisture. - 5.9.3 Results from the 3-D experiment. - 5.10 EXP 10: Incorporation of subgrid scale orography. - 5.10.1 Incorporation of subgrid scale topographic variability. - 5.10.2 Topographic dataset. - 5.10.3 Experimental setup. - 5.10.4 Results from the 3-D experiment. - 6 Conclusions. - References. - Appendix. - A.1 Abstract and Summary of Paper 1.

Note: Contents of Part I. p. vii - viii Part I: Characterization and Interpretation of Structural Variations with Temperature and Pressure Chapter 1. Principles of Comparative Crystal Chemistry by Robert M. Hazen, Robert T. Downs, and Charles T. Prewitt, p. 1 - 34 Chapter 2. Equations of State by Ross J. Angel, p. 35 - 60 Chapter 3. Analysis of Harmonic Displacement Factors by Robert T. Downs, p. 61 - 88 Chapter 4. Animation of Crystal Structure Variations with Pressure, Temperature and Composition by Robert T. Downs and P.J. Heese, p. 89 - 118 Part II: Variation of Structures with Temperature and Pressure Contents of Part II. p. 119 - 122 Chapter 5. Systematics of High-Pressure Silicate Structures by Larry W. Finger and Robert M. Hazen, p. 123 - 156 Chapter 6. Comparative Crystal Chemistry of Dense Oxide Minerals by Joseph R. Smyth, Steven D. Jacobsen, and Robert M. Hazen, p. 157 - 186 Chapter 7. Comparative Crystal Chemistry of Orthosilicate Minerals by Joseph R. Smyth, Steven D. Jacobsen, and Robert M. Hazen, p. 187 - 210 Chapter 8. Chain and Layer Silicates at High Temperatures and Pressures by Hexiong Yang and Charles T. Prewitt, p. 211 - 256 Chapter 9. Framework Structures by Nancy L. Ross, p. 257 - 288 Chapter 10. Structural Variations in Carbonates by Simon A.T. Redfern, p. 289 - 308 Chapter 11. Hydrous Phases and Hydrogen Bonding at High Pressure by Charles T. Prewitt and John B. Parise, p. 309 - 334 Chapter 12. Molecular Crystals by Russell J. Hemley and Przemyslaw Dera, p. 335 - 420 Part III: Experimental Techniques Contents of Part III. p. 421 - 424 Chapter 13. High-Temperature Devices and Environmental Cells for X-ray and Neutron Diffraction Experiments by Ronald C. Peterson and Hexiong Yang, p. 425 - 444 Chapter 14. High-Pressure Single-Crystal Techniques by Ronald Miletich, David R. Allan, and Werner F. Kuhs, p. 445 - 520 Chapter 15. High-Pressure and High-Temperature Powder Diffraction by Yingwei Fei and Yanbin Wang, p. 521 - 558 Chapter 16. High-Temperature­High-Pressure Diffractometry by Ross J. Angel, Robert T. Downs, and Larry W. Finger, p. 559 - 596

Note: Table of Contents: 1 The Solid Phase of Marine Sediments / DIETER K. FÜTTERER 1.1 Introduction 1.2 Sources and Components of Marine Sediments 1.2.1 Lithogenous Sediments 1.2.2 Biogenous Sediments 1.2.3 Hydrogenous Sediments 1.3 Classification of Marine Sediments 1.3.1 Terrigenous Sediments 1.3.2 Deep-Sea Sediments 1.4 Global Patterns of Sediment Distribution 1.4.1 Distribution Patterns of Shelf Sediments 1.4.2 Distribution Patterns of Deep-Sea Sediments 1.4.3 Distribution Patterns of Glay Minerals 1.4.4 Sedimentation Rates 2 Geophysical Perspectives in Marine Sediments 2.1 Physical Properties of Marine Sediments / MONIKA BREITZKE 2.1.1 Introduction 2.1.2 Porosity and Wet Bulk Density 2.1.2.1 Analysis by Weight and Volume 2.1.2.2 Gamma Ray Attenuation 2.1.2.3 Electrical Resistivity (Galvanic Method) 2.1.2.4 Electrical Resistivity (Inductive Method) 2.1.3 Permeability 2.1.4 Acoustic and Elastic Properties 2.1.4.1 Biot-Stoll Model 2.1.4.2 Full Waveform Ultrasonic Gore Logging 2.1.5 Sediment Classification 2.1.5.1 Full Waveform Gore Logs as Acoustic Images 2.1.5.2 P-and S-Wave Velocity, Attenuation, Elastic Moduli and Permeability 2.1.6 Sediment Echosounding 2.1.6.1 Synthetic Seismograms 2.1.6.2 Narrow-Beam Parasound Echosounder Recordings 2.2 Sedimentary Magnetism / ULRICH BLEIL 2.2.1 Introduction 2.2.2 Biogenie Magnetic Minerals in Marine Sediments 2.2.3 Reduction Diagenesis of Magnetic Minerals in Marine Environments 3 Quantification of Early Diagenesis: Dissolved Constituents in Marine Pore Water / HORST D. SCHULZ 3.1 Introduction: How to Read Pore Water Concentration Profiles 3.2 Calculation of Diffusive Fluxes and Diagenetic Reaction Rates 3.2.1 Steady State and Non-Steady State Situations 3.2.2 The Steady State Situation and Fick's First Law of Diffusion 3.2.3 Quantitative Evaluation of Steady State Concentration Profiles 3.2.4 The Non-Steady State Situation and Fick's Second Law of Diffusion 3.2.5 The Primary Redox-Reactions: Degradation of Organic Matter 3.3 Sampling of Pore Water for Ex-Situ Measurements 3.3.1 Obtaining Sampies of Sediment for the Analysis of Pore Water 3.3.2 Pore Water Extraction from the Sediment 3.3.3 Storage, Transport and Preservation of Pore Water 3.4 Analyzing Constituents in Pore Water, Typical Profiles 3.5 In-Situ Measurements 3.6 Influence of Bioturbation, Bioirrigation, and Advection 4 Organic Matter: The Driving Force for Early Diagenesis / JÜRGEN RULLKÖTTER 4.1 The Organic Carbon Cycle 4.2 Organic Matter Accumulation in Sediments 4.2.1 Productivity Versus Preservation 4.2.2 Primary Production of Organic Matter and Export to the Ocean Bottom 4.2.3 Transport of Organic Matter through the Water Column 4.2.4 The Influence of Sedimentation Rate on Organic Matter Burial 4.2.5 Allochthonous Organic Matter in Marine Sediments 4.3 Early Diagenesis 4.3.1 The Organic Carbon Content of Marine Sediments 4.3.2 Chemical Composition of Biomass 4.3.3 The Principle of Selective Preservation 4.3.4 The Formation of Fossil Organic Matter and its Bulk Composition 4.3.5 Early Diagenesis at the Molecular Level 4.3.6 Biological Markers (Molecular Fossils) 4.4 Organic Geochemical Proxies 4.4.1 Total Organic Carbon and Sulfur 4.4.2 Marine Versus Terrigenous Organic Matter 4.4.3 Molecular Paleo-Seawater Temperature and Climate Indicators 4.5 Analytical Techniques 4.5.1 Sam pie Requirements 4.5.2 Elemental and Bulk Isotope Analysis 4.5.3 Rock-Eval Pyrolysis and Pyrolysis Gas Chromatography 4.5.4 Organic Petrography 4.5.5 Bitumen Analysis 4.6 The Future of Marine Geochemistry of Organic Matter 5 Bacteria and Marine Biogeochemistry / Bo BARKER JORGENSEN 5.1 Role of Microorganisms 5.1.1 From Geochemistry to Microbiology - and back 5.1.2 Approaches in Marine Biogeochemistry 5.2 Life and Environments at Small Scale 5.2.1 Hydrodynamics of Low Reynolds Numbers 5.2.2 Diffusion at Small Scale 5.2.3 Diffusive Boundary Layers 5.3 Regulation and Limits of Microbial Processes 5.3.1 Substrate Uptake by Microorganisms 5.3.2 Temperature as a Regulating Factor 5.3.3 Other Regulating Factors 5.4 Energy Metabolism of Prokaryotes 5.4.1 Free Energy 5.4.2 Reduction-Oxidation Processes 5.4.3 Relations to Oxygen 5.4.4 Definitions of Energy Metabolism 5.4.5 Energy Metabolism of Microorganisms 5.4.6 Chemolithotrophs 5.4.7 Respiration and Fermentation 5.5 Pathways of Organic Matter Degradation 5.5.1 Depolymerization of Macromolecules 5.5.2 Aerobic and Anaerobic Mineralization 5.5.3 Depth Zonation of Oxidants 5.6 Methods in Biogeochemistry 5.6.1 Incubation Experiments 5.6.2 Radioactive Tracers 5.6.3 Example: Sulfate Reduction 5.6.4 Specific Inhibitors 5.6.5 Other Methods 6 Early Diagenesis at the Benthic Boundary Layer: Oxygen and Nitrate in Marine Sediments / CHRISTIAN HENSEN AND MATTHIAS ZABEL 6.1 Introduction 6.2 Oxygen and Nitrate Distribution in Seawater 6.3 The Role of Oxygen and Nitrate in Marine Sediments 6.3.1 Respiration and Redox Processes 6.3.1.1 Nitrification and Denitrification 6.3.1.2 Coupling of Oxygen and Nitrate to other Redox Pathways 6.3.2 Determination of Consumption Rates and Senthic Fluxes 6.3.2.1 Fluxes and Concentration Profiles Determined by In-Situ Devices 6.3.2.2 Ex-Situ Pore Water Data from Deep-Sea Sediments 6.3.2.3 Determination of Denitrification Rates 6.3.3 Oxic Respiration, Nitrification and Denitrification in Different Marine Environments 6.3.3.1 Quantification of Rates and Fluxes 6.3.3.2 Variation in Different Marine Environments: Case Studies 6.4 Summary 7 The Reactivity of Iron / RALF R. HAESE 7.1 Introduction 7.2 Pathways of Iron Input to Marine Sediments 7.2.1 Fluvial Input 7.2.2 Aeolian Input 7.3 Iron as a Limiting Nutrient for Primary Productivity 7.4 The Early Diagenesis of Iron in Sediments 7.4.1 Dissimilatary Iran Reductian 7.4.2 Solid Phase Ferric Iron and its Bioavailability 7.4.2.1 Properties of Iron Oxides 7.4.2.2 Bioavailability of Iron Oxides 7.4.2.3 Bioavailability of Sheet Silicate Sound Ferric lron 7.4.3 Iron and Manganese Redax Cycles 7.4.4 Iron Reactivity towards S, O2, Mn, NO3, P, HCO3, and Si-AI 7.4.4.1 lron Reduction by HS and Ligands 7.4.4.2 Iron Oxidation by O2, NO3, and Mn4+ 7.4.4.3 Iron-Sound Phosphorus 7.4.4.4 The Formation of Siderite 7.4.4.5 The Formation of lron Searing Aluminosilicates 7.4.5 Discussion: The Importance of Fe-and Mn-Reactivity in Various Enyironments 7.5 The Assay for Ferric and Ferrous Iron 8 Sulfate Reduction in Marine Sediments / SABINE KASTEN AND BO BARKER JØRGENSEN 8.1 Introduction 8.2 Sulfate Reduction and the Degradation of Organic Matter 8.3 Biotic and Abiotic Processes Coupled to Sulfate Reduction 8.3.1 Pyrite Formation 8.3.2 Effects of Sulfate Reduction on Sedimentary Solid Phases 8.4 Determination of Sulfate Reduction Rates 9 Marine Carbonates: Their Formation and Destruction / RALPH R. SCHNEIDER, HORST D. SCHULZ AND CHRISTIAN HENSEN 9.1 Introduction 9.2 Marine Environments of Carbonate Production and Accumulation 9.2.1 Shallow-Water Carbonates 9.2.2 Pelagic Calcareous Sediments 9.3 The Calcite-Carbonate-Equilibrium in Marine Aquatic Systems 9.3.1 Primary Reactions of the Calcite-Carbonate-Equilibrium with Atmospheric Contact in Infinitely Diluted Solutions 9.3.2 Primary Reactions of the Calcite-Carbonate-Equilibrium without Atmospheric Contact 9.3.3 Secondary Reactions of the Calcite-Carbonate-Equilibrium in Seawater 9.3.4 Examples for Calculation of the Calcite-Carbonate-Equilibrium in Ocean Waters 9.4 Carbonate Reservoir Sizes and Fluxes between Particulate and Dissolved Reservoirs 9.4.1 Production Versus Dissolution of Pelagic Carbonates 9.4.2 Inorganic and Organic Carbon Release trom Deep-Sea Sediments 10 Influences of Geochemical Processes on Stable Isotope Distribution in Marine Sediments / TORSTEN SICKERT 10.1 Introduction 10.2 Fundamentals 10.2.1 Principles of Isotopic Fractionation 10.2.2 Analytical Procedures 10.3 Geochemicallnfluences on 18O/16O Ratios 10.3.1 δ18O of Seawater 10.3.2 δ18O in Marine Carbonates 10.4 Geochemical Influences on 13C/12C Ratios 10.4.1

Note: Contents: Foreword. - Science Highlights. - Why Study the Oceans?. - The Role of the Ocean in the Global Carbon Cycle. - The physical and biological pumps. - The “breathing of the oceans”. - Human perturbations to ocean CO2 uptake. - Detecting the human signal in the ocean. - Will the oceans continue to absorb anthropogenic CO2?. - The Components of the Ocean Carbon Cycle. - Measuring global primary production. - Factors that affect the strength of the biological pump. - Quantifying the magnitude of the biological pump. - Fluxes reaching the deep sea. - Assessing Changes Over Time. - Increasing CO2 content in the upper ocean. - Changes in community structure. - Models and Predictions. - Modelling chlorophyll and nitrate in the water column. - Models of the global carbon cycle. - The way forward. - Challenges For the Future. - About JGOFS.