A survey of deep-water coral and sponge habitats along the west coast of the US using a remotely operated vehicle: NOAA Fisheries Survey Vessel (FSV)'Bell M. Shimada', November 1-5, 2010

Remotely operated vehicle (ROV) surveys were conducted from NOAA’s state-of-the-art Fisheries Survey Vessel (FSV) Bell M. Shimada during a six-day transit November 1-5, 2010 between San Diego, CA and Seattle, WA. The objective of this survey was to locate and characterize deep-sea coral and sponge ecosystems at several recommended sites in support of NOAA’s Coral Reef Conservation Program. Deep-sea corals and sponges were photographed and collected whenever possible using the Southwest Fisheries Science Center’s (SWFSC) Phantom ROV ‘Sebastes’ (Fig. 1). The surveyed sites were recommended by National Marine Sanctuary (NMS) scientists at Monterey Bay NMS, Gulf of the Farallones NMS, and Olympic Coast NMS (Fig. 2). The specific sites were: Sur Canyon, The Football, Coquille Bank, and Olympic Coast NMS. During each dive, the ROV collected digital still images, video, navigation, and along-track conductivity-temperature-depth (CTD), and optode data. Video and high-resolution photographs were used to quantify abundance of corals, sponges, and associated fishes and invertebrates to the lowest practicable taxonomic level, and also to classify the seabed by substrate type. A reference laser system was used to quantify area searched and estimate the density of benthic fauna.

A new deep-sea crab, genus Chaceon, from the Arabian Sea (Crustacea, Decapoda, Geryonidae)

The sixth nominal species of Chaceon to be recorded from the western Indian Ocean is named from a specimen collected off Somalia in 504-506 meters. Chaceon somaliensis, n. sp., resembles C. macphersoni (Manning and Holthuis, 1988) and differs from the other four species known from the area in having the dactylus of the walking legs dorsoventrally depressed. It differs from C. macphersoni in having slenderer legs, a smoother body, and a much deeper, evenly curved orbit.

Learning the Structure of Deep Sparse Graphical Models

Deep belief networks are a powerful way to model complex probability distributions. However, learning the structure of a belief network, particularly one with hidden units, is difficult. The Indian buffet process has been used as a nonparametric Bayesian prior on the directed structure of a belief network with a single infinitely wide hidden layer. In this paper, we introduce the cascading Indian buffet process (CIBP), which provides a nonparametric prior on the structure of a layered, directed belief network that is unbounded in both depth and width, yet allows tractable inference. We use the CIBP prior with the nonlinear Gaussian belief network so each unit can additionally vary its behavior between discrete and continuous representations. We provide Markov chain Monte Carlo algorithms for inference in these belief networks and explore the structures learned on several image data sets.

The deep crab - Geryon quinquedens: first notes on its biology off Mozambique

The deep crab Geryon quinquedens was the objective of an exploratory fishing operation with long lines of baited traps along the slope of southern Mozambique and was caught between 250 and 850 m. Data were analysed from the start of the operation in May, 1979 until March, 1980. The availability of the resource is discussed on the basis of catch rates. Size composition of the catches shows the bigger size of the males and suggests a stratification of the resource by area. Females dominate in shallower waters whereas the interval at which the sex-ratio equals one is identified at 400-450 m. Reproduction is discussed in connection with recruitment and an hypothesis is advanced for an exponential growth rate of about 10 mm per month.

Stock assessment of the deep-water spiny lobster Palinurus delagoae, off Mozambique

Preliminary estimates of growth parameters and mortality are presented for the deep-water spiny lobster Palinurus delagoae fished off Mozambique. The length-converted catch curve shows three levels of total mortality (year-1): Z=2.9 for the smaller sizes; Z=1.4 for intermediate, and Z=0.6 for the larger lobsters. These results are confirmed by a length-structured virtual population analysis. Yield-per-recruit analysis suggests that a long-term yield, at least 50% higher than the present one, could be obtained by increasing the mean size at first capture from about 6 cm (carapace length) to about 10 cm.