Going Multinational under Exchange Rate Uncertainty

Published as an article in: Journal of International Money and Finance, 2010, vol. 29, issue 6, pages 1171-1191.

Tidal oscillations at the head of Monterey Submarine Canyon and their relation to oceanographic sampling and the circulation of water in Monterey Bay. Annual report, Part 6, September 1972

During a 25-hour hydrographic times series at two stations near the head of Monterey Submarine Canyon, an internal tide was observed with an amplitude of 80 to 115 m in water depths of 120 and 220 m respectively. These large oscillations produced daily variations in hydrographic and chemical parameters that were of the same magnitude as seasonal variations in Monterey Bay. Computed velocities associated with the internal tide were on the order of 10 em/sec, and this tidally induced circulation may have a significant role in the exchange of deep water between Monterey Submarine Canyon and the open ocean. (PDF contains 49 pages)

Micronekton of the North Pacific

1. INTRODUCTION 1.1 Working Group History 2. SPECIES COMPOSITION AND DISTRIBUTION PATTERNS RELATED TO WATER MASSES 2.1 Mesopelagic Fishes 2.1.1 Dominant families 2.1.2 Large-scale feeding and/or spawning migration or expatriation? 2.1.3 Definition of water masses 2.1.4 Species composition 2.2 Crustacean Micronekton 2.2.1 Euphausiids 2.2.2 Mysids and decapods 2.3 Cephalopod Micronekton 2.3.1 Family Enoploteuthidae 2.3.2 Family Gonatidae 2.3.3 Family Onychoteuthidae 2.3.4 Family Pyroteuthidae 2.3.5 Other cephalopods 3. VERTICAL DISTRIBUTION PATTERNS 3.1 Mesopelagic Fishes 3.1.1 Significance of diel vertical migration 3.1.2 DVM patterns 3.1.3 Ontogenetic change in DVM patterns 3.2 Crustacean Micronekton 3.3 Cephalopod Micronekton 4. BIOMASS PATTERNS 4.1 Micronektonic Fish 5. LIFE HISTORY 5.1 Fish Micronekton 5.1.1 Age and growth 5.1.2 Production 5.1.3 Reproduction 5.1.4 Mortality 5.2 Crustacean Micronekton 5.2.1 Age and growth 5.2.2 Production 5.2.3 Reproduction and early life history 5.2.4 Mortality 5.3 Cephalopod Micronekton 5.3.1 Age and growth 5.3.2 Production 5.3.3 Reproduction and early life history 5.3.4 Mortality 6. ECOLOGICAL RELATIONS 6.1 Feeding Habits 6.1.1 Fish micronekton 6.1.2 Crustacean micronekton 6.1.3 Cephalopod micronekton 6.2 Estimating the Impact of Micronekton Predation on Zooplankton 6.2.1 Predation by micronektonic fish 6.3 Predators 6.3.1 Cephalopods 6.3.2 Elasmobranchs 6.3.3 Osteichthyes 6.3.4 Seabirds 6.3.5 Pinnipeds 6.3.6 Cetaceans 6.3.7 Human consumption 6.4 Predation Rate 6.5 Ecosystem Perspectives 6.6 Interactions between Micronekton and Shallow Topographies 7. SAMPLING CONSIDERATIONS 7.1 Net Trawling 7.1.1 Sampling gears 7.1.2 Sampling of surface migratory myctophids 7.1.3 Commercial-sized trawl sampling 7.1.4 Sampling of euphausiids and pelagic decapods 7.2 Acoustic Sampling 7.2.1 Acoustic theory and usage 7.3 Video Observations (Submersible and ROV) 8. SUMMARY OF PRESENT STATE OF KNOWLEDGE 8.1 Fish Micronekton 8.2 Crustacean Micronekton 8.3 Cephalopod Micronekton 9. RECOMMENDATIONS 10. REFERENCES 11. APPENDICES (122 page document)

Results of the Sea Grant fishes sampling program for the 1971-1972 Season. Annual Report, Part 6, 1973

(PDF contains 48 pages)

Influence of Water Depth on the Rate of Expansion of Giant Cutgrass Populations and Management Implications

Giant cutgrass ( Zizaniopsis miliacea (Michx.) Doell. & Asch.), a tall emergent grass native to the southeastern United States, was studied in Lake Seminole where it formed large expanding stands, and Lake Alice where it was confined to a stable narrow fringe.

New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination

Methods for generating a new population are a fundamental component of estimation of distribution algorithms (EDAs). They serve to transfer the information contained in the probabilistic model to the new generated population. In EDAs based on Markov networks, methods for generating new populations usually discard information contained in the model to gain in efficiency. Other methods like Gibbs sampling use information about all interactions in the model but are computationally very costly. In this paper we propose new methods for generating new solutions in EDAs based on Markov networks. We introduce approaches based on inference methods for computing the most probable configurations and model-based template recombination. We show that the application of different variants of inference methods can increase the EDAs’ convergence rate and reduce the number of function evaluations needed to find the optimum of binary and non-binary discrete functions.