A novel μCT analysis reveals different responses of bioerosion and secondary accretion to environmental variability

Corals build reefs through accretion of calcium carbonate (CaCO3) skeletons, but net reef growth also depends on bioerosion by grazers and borers and on secondary calcification by crustose coralline algae and other calcifying invertebrates. However, traditional field methods for quantifying secondary accretion and bioerosion confound both processes, do not measure them on the same time-scale, or are restricted to 2D methods. In a prior study, we compared multiple environmental drivers of net erosion using pre- and post-deployment micro-computed tomography scans (μCT; calculated as the % change in volume of experimental CaCO3 blocks) and found a shift from net accretion to net erosion with increasing ocean acidity. Here, we present a novel μCT method and detail a procedure that aligns and digitally subtracts pre- and post-deployment μCT scans and measures the simultaneous response of secondary accretion and bioerosion on blocks exposed to the same environmental variation over the same time-scale. We tested our method on a dataset from a prior study and show that it can be used to uncover information previously unattainable using traditional methods. We demonstrated that secondary accretion and bioerosion are driven by different environmental parameters, bioerosion is more sensitive to ocean acidity than secondary accretion, and net erosion is driven more by changes in bioerosion than secondary accretion

The Vezo communities and fisheries of the coral reef ecosystem in the Bay of Ranobe, Madagascar

Madagascar, a country whose extraordinary levels of endemism and biodiversity are celebrated globally by scientists and laymen alike, yet historically has received surprisingly little research attention, is the setting of the present dissertation. Here, I contribute to the need for applied research by: 1) focusing on the most intensely fished section of the Toliara Barrier Reef, the Bay of Ranobe; 2) characterizing the marine environment, the human population, and the fisheries; and 3) collecting the longest known time-series of data on fisheries of Madagascar, thereby providing a useful baseline for future analyses. In Chapter 1, the bathymetry of the Bay was characterized following a unique application of the boosted regression tree classifier to the RGB bands of IKONOS imagery. Derivation of water depths, based on DOS-corrected images, following a generic, log-transformed multiple linear regression approach produced a predictive accuracy of 1.28 m, whereas model fitting performed using the boosted regression tree classifier, allowing for interaction effects (tree complexity= 2), provided increased accuracy (RMSE= 1.01 m). Estimates of human population abundance, distribution, and dynamics were obtained following a dwelling-unit enumeration approach, using IKONOS Panchromatic and Google Earth images. Results indicated, in 2016, 31,850 people lived within 1 km of the shore, and 28,046 people lived within the 12 coastal villages of the Bay. Localized population growth rates within the villages, where birth rates and migration are combined, ranged from 2.96% - 6.83%, greatly exceeding official estimates of 2.78%. Annual pirogue counts demonstrated a shift in fishing effort from south to the north. Gear and boat (pirogue) profiles were developed, and the theoretical maximum number of fishermen predicted (n= 4,820), in 2013, from a regression model based on pirogue lengths (R2= 0.49). Spatial fishing effort distribution was mapped following a satellite-based enumeration of fishers-at-sea, resulting in a bay-wide estimate of intensity equaling 33.3 pirogue-meters km-2. Landings and CPUE were characterized, with respect to finfish, by family, species, gear, and village. Expansion of landings to bay-wide fisheries yields indicated 1,885.8 mt year-1 of mixed fisheries productivity, with an estimated wholesale value of 1.64 million USD per annum

Hyperspectral benthic mapping from underwater robotic platforms

We live on a planet of vast oceans; 70% of the Earth's surface is covered in water. They are integral to supporting life, providing 99% of the inhabitable space on Earth. Our oceans and the habitats within them are under threat due to a variety of factors. To understand the impacts and possible solutions, the monitoring of marine habitats is critically important. Optical imaging as a method for monitoring can provide a vast array of information however imaging through water is complex. To compensate for the selective attenuation of light in water, this thesis presents a novel light propagation model and illustrates how it can improve optical imaging performance. An in-situ hyperspectral system is designed which comprised of two upward looking spectrometers at different positions in the water column. The downwelling light in the water column is continuously sampled by the system which allows for the generation of a dynamic water model. In addition to the two upward looking spectrometers the in-situ system contains an imaging module which can be used for imaging of the seafloor. It consists of a hyperspectral sensor and a trichromatic stereo camera. New calibration methods are presented for the spatial and spectral co-registration of the two optical sensors. The water model is used to create image data which is invariant to the changing optical properties of the water and changing environmental conditions. In this thesis the in-situ optical system is mounted onboard an Autonomous Underwater Vehicle. Data from the imaging module is also used to classify seafloor materials. The classified seafloor patches are integrated into a high resolution 3D benthic map of the surveyed site. Given the limited imaging resolution of the hyperspectral sensor used in this work, a new method is also presented that uses information from the co-registered colour images to inform a new spectral unmixing method to resolve subpixel materials

Understanding decay in marine calcifiers: Micro-CT analysis of skeletal structures provides insight into the impacts of a changing climate in marine ecosystems

Calcifying organisms and their exoskeletons support some of the most diverse and economically important ecosystems in our oceans. Under a changing climate, we are beginning to see alterations to the structure and properties of these exoskeletons due to ocean acidification, warming and accelerated rates of bioerosion. Our understanding has grown as a result of using micro‐computed tomography (μCT) but its applications in marine biology have not taken full advantage of the technological development in this methodology. We present a significant advancement in the use of this method to studying decalcification in a marine calcifier. We present a detailed workflow on best practice for μCT image processing and analysis of marine calcifiers, designed using coral skeletons subjected to acute, short‐term microbial bioerosion. This includes estimating subresolution microporosity and describing pore space morphological characteristics of macroporosity, in perforate and imperforate exoskeletons. These metrics are compared between control and bieroded samples, and are correlated with skeletal hardness as measured by nanoindentation. Our results suggest that using subresolution microporosity analysis improves the spatiotemporal resolution of μCT data and can detect changes not seen in macroporosity, in both perforate and imperforate skeletons. In imperforate samples, the mean size and relative number of pores in the macroporous portion of the images changed significantly where total macroporosity did not. The increased number of pores and higher microporosity are both directly related to a physical weakening of the calcareous exoskeletons of imperforate corals only. In perforate corals, increased macroporosity was accompanied by an overall widening of pore spaces though this did not correlate with sample hardness. These novel techniques complement traditional approaches and in combination demonstrate the potential for using μCT scanning to sensitively track the process of decalcification from a structural and morphological perspective. Importantly, these approaches do not necessarily rely on ultra‐high resolution (i.e. single micron) scans and so maintain the accessibility of this technology. The continued optimization of these tools for a variety of marine calcifiers will advance our understanding of the effect of climate change on marine biogenic calcified structures.Australian Research Council, Grant/Award Number: DP180103199; International Coral Reef Societ

Advances in Sonar Technology

The demand to explore the largest and also one of the richest parts of our planet, the advances in signal processing promoted by an exponential growth in computation power and a thorough study of sound propagation in the underwater realm, have lead to remarkable advances in sonar technology in the last years.The work on hand is a sum of knowledge of several authors who contributed in various aspects of sonar technology. This book intends to give a broad overview of the advances in sonar technology of the last years that resulted from the research effort of the authors in both sonar systems and their applications. It is intended for scientist and engineers from a variety of backgrounds and even those that never had contact with sonar technology before will find an easy introduction with the topics and principles exposed here

Book of Abstracts & Success Stories National Conference on Marine Debris COMAD 2018

Marine debris has become a global problem with considerable threats to the habitat and to the functions of marine ecosystem. One of the first reports of large areas of plastics in the ocean has been by National Oceanic and Atmospheric Administration (NOAA) in 1988 about the Great Pacific Garbage patch or the Pacific trash vortex, where the density of litter is estimated as four numbers per cubic meter. Globally, this shocking information led to initiation of new research programs on marine litter and in India, the ICAR-CMFRI started an in house research program on this theme in 2007.Understanding the significance of this ecological problem which is purely a direct impact of anthropogenic activity, the Marine Biological Association of India decided to organise a National Conference on Marine Debris (COMAD 2018 ) with an aim to bring together researchers, planners, NGOs, entrepreneurs and local governing bodies working on this theme. Thus, this conference was planned with three main componentsunderstand the research outputs, get first- hand information on the various activities carried out by the public to reduce or recycle non degradable waste generated at various levels and also to have an exhibition of eco-friendly activities and products which would help to reduce marine debris in the long run. The response to all the three themes has been very encouraging. We have received about 50 research articles on themes ranging from micro-plastics to ghost nets and the same number of success stories which are actually details of the diverse activities carried out in different maritime states of the country to solve the issue of solid waste generated in the country. The section on success stories includes attempts by eco-clubs, individuals, schools, colleges, local governing bodies, district administrations, Institutions and NGOs. Activities by some Panchayats like banning plastics in public functions and mechanisms to collect sold waste from households are really commendable. Similarly, the efforts put in by various groups to remove marine debris from the coastal waters is something which should be appreciated. The message from these success stories is that, this problem of increasing marine debris can be resolved. We have got success stories from almost all states and these leaders of clean campaign will be presenting their work in the conference. It is well known that visuals such as photographs and videos are powerful tools of communication. In COMAD 2018, we have provided an opportunity for all across the nation to contribute to this theme through photographs and videos. Am very happy that we have received more than 300 photographs and nearly 25 videos. The MBAI will place these on the web site. It is really shocking to see the quantity of litter in the fishing ground and in the coastal ecosystem

A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection

As the use of robotics becomes more widespread, the huge amount of vision data leads to a dramatic increase in data dimensionality. Although deep learning methods can effectively process these high-dimensional vision data. Due to the limitation of computational resources, some special scenarios still rely on traditional machine learning methods. However, these high-dimensional visual data lead to great challenges for traditional machine learning methods. Therefore, we propose a Lite Fireworks Algorithm with Fractal Dimension constraint for feature selection (LFWA+FD) and use it to solve the feature selection problem driven by robot vision. The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model. The comparative experimental results of two publicly available datasets from UCI show that the proposed method can effectively select a subset of features useful for model inference and remove a large amount of noise noise present in the original data to improve the performance.Comment: International Conference on Pharmaceutical Sciences 202

Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal

Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. Quantitative and qualitative experiments validate the success of proposed algorithms

Rip Current Detection in Nearshore Areas through UAV Video Analysis with Almost Local-Isometric Embedding Techniques on Sphere

Rip currents pose a significant danger to those who visit beaches, as they can swiftly pull swimmers away from shore. Detecting these currents currently relies on costly equipment and is challenging to implement on a larger scale. The advent of unmanned aerial vehicles (UAVs) and camera technology, however, has made monitoring near-shore regions more accessible and scalable. This paper proposes a new framework for detecting rip currents using video-based methods that leverage optical flow estimation, offshore direction calculation, earth camera projection with almost local-isometric embedding on the sphere, and temporal data fusion techniques. Through the analysis of videos from multiple beaches, including Palm Beach, Haulover, Ocean Reef Park, and South Beach, as well as YouTube footage, we demonstrate the efficacy of our approach, which aligns with human experts' annotations.Comment: 10 pages, 9 figures, 3 table