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  • Atlantic Coast (South Africa) -- Environmental conditions -- Forecasting.  (1)
  • Energy; Experiment; Mass  (1)
  • 2005-2009  (2)
  • 1970-1974
Document type
Keywords
Language
Years
  • 2005-2009  (2)
  • 1970-1974
Year
  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Atlantic Coast (South Africa) -- Environmental conditions -- Forecasting. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (438 pages)
    Edition: 1st ed.
    ISBN: 9780080476049
    Series Statement: Issn Series ; v.Volume 14
    Language: English
    Note: Cover -- Title Page -- Copyright Page -- Table of Contents -- Series Editor's introduction -- Ministers' page: Towards forecasting a changing ocean: An African Perspective -- Sponsorship page -- Foreword -- List of contributors -- PART I: BY WAY OF INTRODUCTION -- Chapter 1. A plan comes together -- UNIQUE ENVIRONMENT -- TEN YEARS OF CLOSE REGIONAL COLLABORATION -- OBSERVING AND PREDICTING IN THE BCLME WITHIN THE INTERNATIONAL CONTEXT -- FAST-TRACKING THE DEVELOPMENT OF A REGIONAL OBSERVING SYSTEM AND PREDICTIVE CAPABILITY -- ABOUT THIS BOOK -- ACKNOWLEDGEMENT -- REFERENCES -- Chapter 2. Forecasting within the context of Large Marine Ecosystem Programs -- LME DEFINITION: DELINEATION AND MAJOR STRESSORS -- LME INDICATOR MODULES -- APPLICATION OF INDICATOR MODULES TO LME MANAGEMENT SUPPORTED BY THE GLOBAL ENVIRONMENT FACILITY (GEF) -- SCIENCE-BASED ASSESSMENTS OF LME BIOMASS YIELDS -- RECOVERING FISHERIES BIOMASS -- LME MODELING AND DRIVING FORCES OF CHANGE -- REFERENCES -- Chapter 3. The Global Ocean Observing System for Africa (GOOS Africa): Monitoring and Predicting in Large Marine Ecosystems -- INTRODUCTION -- THE LARGE MARINE ECOSYSTEM (LME) CONCEPT AND STRATEGY -- THE RISE OF THE GLOBAL OCEAN OBSERVING SYSTEM IN AFRICA (GOOS-AFRICA) -- GOOS-AFRICA STRATEGIC PARTNERSHIPS -- THE AFRICAN LMES ARE CORE AND VITAL STRATEGIC PARTNERS FOR GOOS-AFRICA -- GOOS-AFRICA CONTRIBUTION TO INTEGRATED MONITORING AND PREDICTING OF LARGE MARINE ECOSYSTEMS -- CONCLUDING REMARKS: SUCCESS STORIES -- GOOS-AFRICA FORWARD LOOK -- ACKNOWLEDGEMENTS -- PART II: SETTING THE SCENE -- Chapter 4. Large scale physical variability of the Benguela Current Large Marine Ecosystem (BCLME) -- INTRODUCTION -- MAJOR PHYSICAL PROCESSES IN THE BCLME -- ATMOSPHERIC FORCING OF THE BCLME -- LARGE SCALE MODES OF VARIABILITY -- WATER MASSES AND VERTICAL STRUCTURE OF THE BCLME. , NUMERICAL OCEAN MODELLING IN THE BCLME -- SCHEMATIC CIRCULATION DEDUCED FROM A NUMERICAL MODEL -- NUMERICAL MODELLING OF THE PHYSICAL PROCESSES IN THE BCLME -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 5. Low oxygen water (LOW) variability in the Benguela system: Key processes and forcing scales relevant to forecasting -- INTRODUCTION -- SYNTHESIS OF SYSTEM PROCESSES AND VARIABILITY -- REMOTE FORCING: EASTERN TROPICAL SOUTHEAST ATLANTIC (ETSA - BENGUELA LINKAGE) -- BENGUELA SHELF VARIABILITY -- PROCESSES REQUIRING DIAGNOSTIC ASSESSMENT -- PROCESSES WITH FORECASTING POTENTIAL -- WHAT ARE THE GAPS? -- SUMMARY -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 7. The variability and potential for prediction of harmful algal blooms in the southern Benguela ecosystem -- ABSTRACT -- INTRODUCTION -- THE SPATIAL [GEOGRAPHIC] DISTRIBUTION OF HABS -- SEASONAL INCIDENCE OF HABS -- THE TIMING OF HABS: ACROSS-SHELF AND ALONGSHORE TRANSPORT -- CONCLUSION: THE POTENTIAL FOR PREDICTION -- Chapter 8. Resource and ecosystem variability, including regime shifts, in the Benguela Current system -- ABSTRACT -- INTRODUCTION -- RESOURCE VARIABILITY -- ECOSYSTEM VARIABILITY -- PREDICTING VARIABILITY -- MAKING PREDICTIONS -- A WAY FORWARD -- CONCLUSIONS -- ACKNOWLEDGEMENTS -- Chapter 6. Variability of plankton with reference to fish variability in the Benguela Current Large Marine Ecosystem - An overview -- ABSTRACT -- INTRODUCTION -- EVENT-SCALE VARIABILITY -- SEASONAL CHANGES -- INTERANNUAL AND DECADAL CHANGES -- CONCLUSIONS -- REFERENCES -- Chapter 9. Modelling, forecasting and scenarios in comparable upwelling ecosystems --California, Canary, Humboldt -- ABSTRACT -- INTRODUCTION -- PHYSICS -- ECOLOGY -- TELECONNECTIONS BETWEEN ECOSYSTEMS -- CONCLUSIONS AND FURTHER GENERAL THOUGHTS -- ACKNOWLEDGMENTS -- PART III: HOPES, DREAMS AND REALITY. , Chapter 10. Influences of large scale climate modes and Agulhas system variability on the BCLME region -- INTRODUCTION -- ATMOSPHERIC VARIABILITY OF THE BCLME REGION -- BENGUELA NIÑOS AND SST VARIABILITY IN THE TROPICAL EASTERN ATLANTIC OCEAN -- INFLUENCE OF VARIABILITY IN THE SOUTHERN AGULHAS SYSTEM ON THE BCLME REGION -- SUMMARY -- ACKNOWLEDGEMENTS -- Chapter 11. Developing a basis for detecting and predicting long-term ecosystem changes -- ABSTRACT -- INTRODUCTION -- ECOSYSTEM CHANGES TO BE MONITORED -- APPROPRIATE ECOSYSTEM INDICATORS AND MODELS -- DESIRED END PRODUCTS AND DATA REQUIREMENTS -- SCHEDULE FOR IMPLEMENTATION -- CONCLUSIONS -- ACKNOWLEDGEMENTS -- Chapter 12. The requirements for forecasting harmful algal blooms in the Benguela -- INTRODUCTION -- PHYSICAL-BIOLOGICAL COUPLINGS UNDERLYING HABS -- IDENTIFICATION OF THE PHYSICAL PROCESSES IMPORTANT TO BLOOM CONCENTRATION AND TRANSPORT -- REAL-TIME OBSERVATION OF HABS -- NUMERICAL MODELLING AND PREDICTION OF HAB DYNAMICS -- CONCLUSIONS -- Chapter 13. Low oxygen water (LOW) forcing scales amenable to forecasting in the Benguela ecosystem -- INTRODUCTION -- SCALES OF LOW VARIABILITY AMENABLE TO FORECASTING -- REMOTE EQUATORIAL FORCING: 2 MONTH FORECASTING SCALE -- SHELF SCALE FORCING: 7 DAY FORECASTING SCALE -- IMPORTANCE OF COUPLED MECHANISMS -- OBSERVATIONAL PROGRAMME -- SUMMARY -- ACKNOWLEDGEMENTS -- Chapter 14. Forecasting shelf processes of relevance to living marine resources in the BCLME -- ABSTRACT -- INTRODUCTION -- LOW OXYGEN WATER EVENTS -- MESOSCALE PROCESSES -- BOUNDARY PROCESSES -- OTHER SHELF PROCESSES -- DISCUSSION AND CONCLUSIONS -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 15. Environmental data requirements of maritime operations in the Benguela coastal ocean -- INTRODUCTION -- OIL AND GAS INDUSTRY ENVIRONMENTAL INFORMATION NEEDS -- DIAMOND MINING -- SHIPPING -- PORTS. , FISHING -- SOVEREIGNTY AND RESOURCE PROTECTION -- MARITIME FORECASTING IN SUPPORT OF RISK MANAGEMENT -- SUMMARY AND CONCLUSION -- ACKNOWLEDGEMENTS -- PART IV: THE WAY AHEAD -- Chapter 16. Towards a future integrated forecast system -- SUMMARY -- INTRODUCTION -- CANDIDATE PREDICTIVE CAPABILITIES FOR THE BCLME -- SYSTEM REQUIREMENTS FOR THE CANDIDATE PREDICTIVE CAPABILITIES -- CONCLUSIONS AND RECOMMENDATIONS -- Chapter 17. Forecasting a large marine ecosystem -- SUMMARY -- INTRODUCTION -- MODELLING PRACTICE IN THE 21ST CENTURY -- SHORT-TERM LME FORECASTING -- MEDIUM-TERM LME FORECASTING -- LONG-TERM LME FORECASTING -- WHAT-IF? PREDICTION -- A VISION OF THE FUTURE -- Index -- Large Marine Ecosystems Series.
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  • 2
    Publication Date: 2023-01-13
    Description: Untersuchungen über das Sprungvermögen der Feldheuschreckangattung Stenobothru (277 Individuen) ergaben: 1. Die Sprungbahnen stellen exakte ballistische Kurven dar, Körperbewegungen während des Sprunges haben auf ihre Form keinen wesentlichen Einfluß. Die Verkürzung der Wurfparabel durch den Luftwiderstand beträgt 20%, der mittlere Absprungwinkel 54°. 2. Die Sprungweite eines Weibchen vom mittleren Gewicht 0,22 g beträgt bei etwa 20° im Mittel 0,6 m, mit einem Maximum von 1,2 m. Durch einen Absprungwinkel nahe 45° erzielen die Tiere auf ebener Fläche optimale Sprungweite. 3. Einem solchen Standardsprung entspricht ein physikalischer Energieaufwand von rund 10**4 erg, mit nicht erheblicher empirischer Fehlerbreite. Unter Rücksicht auf den Nutzeffekt dürfte die von einem Tier je Sprung aufgewendete Energie etwas mehr als das 3fache dieses Betrages ausmachen. Als Absprungkraft errechnet sich je Sprung rund 4000 dyn. 4. Im groben verhalten sich große und kleine Vertreter der untersuchten Arten isometrisch, obgleich die großen ausschließlich Weibchen, die kleinen ausschließlich Männchen sind. 5. Die maximale Lokomotionsgeschwindigkeit, gemessen an der ersten Fünfsprungserie, ist bei kleinen und großen Tieren innerhalb der Fehlerbreite absolut gleich, ja bei den kleineren Vertretern sogar (mindestens teilweise vermutlich aus sekundären Gründen) etwas größer. Entsprechendes gilt für eine mittlere Lokomotionsgeschwindigkeit. Überschlagsmäßig würde dauerndes Springen vom Standpunkt der O2-Bilanz keine außergewöhnliche Belastung bedeuten. Die beobachteten Ermüdungserscheinungen beruhen offenbar auf der zu langsamen Mobilisierung gespeicherter Energien. 6. Bei allen guten Springern des Tierreichs (Floh-Känguruh ) scheint größenordnungsmäßig die Sprungleistung massenproportional zu sein.
    Keywords: Energy; Experiment; Mass
    Type: Dataset
    Format: text/tab-separated-values, 555 data points
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