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| BENGUELA: PREDICTING A LARGE MARINE ECOSYSTEM, 14
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Edited By
Vere Shannon, University of Cape Town, Oceanography Department, Cape Town, South Africa
Gotthilf Hempel, Science Advisor, Senate of Bremen, Freien Hansestadt Bremen, Germany
Coleen Moloney, Zoology Department, University of Capetown, Rondobosch 7701, South Africa
John Woods, Department of Earth Science and Engineering, Imperial College, London, United Kingdom
Paola Malanotte-Rizzoli, Massachusetts Institute of Technology, Cambridge, U.S.A.
Included in series
Large Marine Ecosystems,
Description
This is a book which examines much of what we know and also what we don?t know about the Benguela Current Large Marine Ecosystem and its
inherent variability. Building on recent work and exciting findings about the predictability of the Benguela and other coastal upwelling
ecosystems, the book takes a look towards the future and highlights the difficulty of making predictions in such a complex and variable
region. The book illustrates what scientists and managers from developed and developing countries can achieve by working together, and
it lays a solid base upon which to build wise management and ensure sustainable use of the ecosystem.
Audience
Oceanographers, marine biologists, ocean/fishery managers, terrestrial scientists and those interested in climate variability and change.
Contents
PART I : BY WAY OF INTORDUCTION
1. A plan comes together (Vere Shannon)
2. Forecasting within the context of large marine ecosystem
programs (Kenneth Sherman)
3. GOOS-Africa : Monitoring and predicting in large marine ecosystems
(Justin Ahanhanzo)
PART II : SETTING
THE SCENE
Subtitle : Data, time series and models : what we think we know about variability in the Benguela and comparable systems.
4. Large scale variability in the physical environment of the Benguela region (Frank Shillington et al.)
5. Forecasting low oxygen
water (LOW) variability in the Benguela system (Pedro Monteiro et al.)
6. Variability of plankton in the Benguela Current LME – an overview
(Larry Hutchings et al.)
7. The variability and potential for prediction of harmful algal blooms in the southern Benguela ecosystem (Grant
Pitcher and Scarla Weeks)
8. Resource and ecosystem variability, including regime shifts, in the Benguela Current system (Carl van der
Lingen et al.)
9. Variability and change in comparable systems: lessons learned (Pierre Freon et al.)
PART III : HOPES, DREAMS AND
REALITY
Subtitle : Forecasting in the Benguela : Our collective wisdom
10 Transboundary influences on the BCLME region (Chris Reason
et al.)
11 Detecting and forecasting long-term ecosystem changes (Astrid Jarre et al.)
12 The requirements for forecasting harmful algal
blooms in the Benguela (Stewart Bernard et al.)
13 Low oxygen water (LOW) forcing scales amenable to forecasting in the Benguela ecosystem
(Monteiro et al.)
14 Forecasting shelf processes of relevance to living marine resources in the BCLME (Carl van der Lingen et al.)
15
Maritime operations in the Benguela coastal ocean (Marten Grundlingh et al.)
PART IV : THE WAY AHEAD
16 Aspects of Benguela variability
amendable to forecasting value (John Woods et al.)
17 Towards a future integrated forecasting system (Geoff Brundrit et al.)
18 A vision
for modeling and forecasting (John Wood)
| Bibliographic details |
Hardbound, 438 pages, publication date: AUG-2006
ISBN-13: 978-0-444-52759-2
ISBN-10: 0-444-52759-1
Imprint: ELSEVIER
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| Price and Ordering |
Price:
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USD 149
EUR 116
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090/921
Last update: 13 Jun 2009
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