In January 2023 the International Seabed Authority (ISA), an intergovernmental organization established under the 1982 UN Convention on the Law of the Sea (UNCLOS) granted already thirty contracts for exploration of Deep Seabed Mining, but exploitation has not started yet because ISA has not finalized its regulations, expected in 2025. This article intends to address to what extent is the current deep Seabed mining regime factoring risks and uncertainties in a just and sustainable manner in the current legal framework on environmental liability embedded in the green energy transition's processes with the EU as case study and inquiry if there are baseline or best practice to learn from. It unravels which type of precautionary approach fits and is just. Deep Seabed Mining is also a social justice, ethical dilemma demanding equitable and shared solutions to the benefit of current and future generations because activities of this kind can destroy ecosystems that can take decades to regenerate, if not causing irreversible damage. Law and technology, but also technology will be crucial as new methods guaranteeing an "environmentally benign Deep Seabed Mining" will determine how liability law will be shaped.
Gathering real-world high-quality data from underwater environments is cost-intensive, as is labeling this data for machine learning. Given this, synthetic data represents a possible solution that delivers ground-truth training data. Nevertheless, rendering and modeling of underwater environments are challenging due to several factors, including attenuation, scattering, and turbidity. The focus of this study is on the creation of a simulated underwater environment constructed for the purposes of simulating marine growth on offshore structures. The main requirement is the creation of renderings of sufficient quality and quantity with respect to the representation of marine-species distribution and intra-class variation, and sufficiently accurate recreation of lighting and turbidity (Jerlov water type) conditions underwater. Underwater rendering has been implemented using Blender, with marine growth from 2D/3D scanned and hand-modelled entities combined with a CAD model of an actual offshore installation. The proposed approach provides for the generation of synthetic images usable for training computer vision models in marine-growth inspection applications as well as other related underwater applications. This has been demonstrated in a case study, wherein the utility of the rendered dataset has been briefly demonstrated in a neural network marine-growth segmentation task. The produced renderings are available as a dataset of 1038 scene renders, using varying poses and randomized representative marine growth; each render includes RGB images, ground-truth segmentation masks, water-free RGB images, and depth information. In future work, the expansion with additional species and objects in other oceanic and coastal environments is envisioned.
This article reviews and examines the most significant climate-change-related impacts and adaptation from the perspective of stakeholders in Greenlandic fisheries. The study was constructed as a comprehensive, multi-site, bottom-up case study around Greenlandic fisheries (south-north/offshore-inshore), where interviews and workshops with Greenlandic fishermen and stakeholders have communicated their observations of fishery changes associated with changes in the marine environment within the last decade. Key observations include: changes in sea ice cover; increased abundance of known species in North Greenland; fish species relocation and periodic absences in coastal systems; a northward movement of the shrimp fishery; new and unprecedented bycatch issues; and new fisheries. Stakeholder knowledge acknowledges the capacity of both offshore and coastal fisheries to adapt to changing seasonality and distribution. Factory capacity and decision-making as well as bycatch legislation have been identified as the most critical bottlenecks for (re)diversifying fisheries and increasing the value of the locally available resources.
This chapter introduces the reader to port State jurisdiction in public international law, linking customary law traditions to its utilization in the International Convention for the Prevention of Pollution from Ships (MARPOL). Its provisions are contextualized within their relationship to the United Nations Convention on the Law of the Sea, both historically as a matter of treaty negotiations, and contemporarily as a matter of defining generally accepted international rules and standards for port States regulating vessel-source pollution. Port States play a key role in promoting and evolving the uniform and universal application of MARPOL standards as, by-and-large, minimum global standards. Complementary principles—such as no more favorable treatment—and mechanisms—such as regional port State control memorandums—are highlighted, as well as several relevant implementation strategies, for example, concentrated inspection campaigns.
Physical model tests are often conducted during the design process of coastal structures. The wave climate in such tests often includes short-crested nonlinear waves. The structural response is related to the incident waves measured in front of the structure. Existing methods for separation of incident and reflected short-crested waves are based on linear wave theory. For analysis of nonlinear waves, the existing methods are limited to separation of nonlinear long-crested waves. For short-crested waves, the only options so far have been to use estimates without the structure in place. The present paper thus presents a novel method for directional analysis of nonlinear short-crested waves: Non-Linear Single-summation Oblique Reflection Separation (NL-SORS). The method is validated on numerical model data, as for such data, the target is well defined as simulations may be performed with fully absorbing boundaries. Second- and third-order wave theory is used to demonstrate that small errors on the celerity of nonlinear components in the mathematical model of the surface elevation can be obtained if a double narrow-banded directional spectrum is assumed, ie the primary frequency and the directional spreading function must be narrow banded. As the increasing nonlinearity of the waves often arise from waves shoaling on a sloping foreshore, the directional spreading of the waves will decrease due to refraction, and a broad directional spreading function will thus not be experienced in highly nonlinear conditions. The new NL-SORS method is shown to successfully decompose nonlinear short-crested wave fields and estimate the directional spectrum thereof.
Climate change is affecting the oceans with increased sea levels, ocean acidification and extreme weather affecting coastal ecosystems. This necessitates a new model for climate and marine law, because existing law and policy are insufficient to tackle adaptation and mitigation impacts upon the marine environment. Presently, we do not know what it takes to integrate and balance climate legislation and governance when faced with unknown problems. The concept of Blue Economy is new and originates from the United Nations Conference on Sustainable Development. This chapter explores how one can best build new knowledge that can integrate climate law and marine governance. It does so by proposing the creation of a nexus between ecosystem-based regulations and marine spatial planning in order to create a new paradigm for effective and inclusive Blue Economy, using a systemic multi-regulatory framework (Global, Regional and National).
Tropical marine ecosystems provide a wide range of provisioning, regulating, supporting and cultural services to millions of people. They also largely contribute to blue carbon sequestration. Mangroves, seaweeds, and seagrass habitats are important because they store large amounts of organic carbon while fish play a fundamental role in the carbon transport to deep waters. Protecting and restoring tropical marine ecosystems is of great value to society because their decline impairs the vital services they provide, such as coastal protection and seafood supplies. In this marine policy paper, we present options for enhancing blue carbon sequestration in tropical coastal areas. In addition, we outline the economic value of four components of coastal ecosystems (mangroves, seagrass beds, seaweed forests and fish) and discuss the economic levers society can apply to ensure the end of the current gross mismanagement of tropical blue carbon ecosystems. Market-based solutions, such as carbon taxes or fines for violations that use the ‘polluter pays' principle, can be very effective in achieving national or international climate agreements. Private investment can also finance the preservation of blue carbon ecosystems. One widely known financing method for blue carbon conservation, particularly of mangroves, is the use of municipal bonds, which can be issued like traditional bonds to finance the day-to-day obligations of cities, states and counties. Non-philanthropic investments can also be used in order to protect these ecosystems, such as debt-for-nature swaps and the improved application of regulatory frameworks. Overall, the protection of tropical marine ecosystems is an ecological imperative and should also be seen as an opportunity for new revenue streams and debt reduction for countries worldwide.
The PermaGov Deliverable focuses on exploring the EU policy landscape within the context of the European Green Deal (EGD), structured around four regime complexes: marine life, marine plastics, marine energy, and maritime transport. These complexes provide a framework for analyzing the EU's approach to achieving the EGD's vision for sustainable marine governance. This report aims to offer a descriptive overview of marine EU policies relevant to the PermaGov project, focusing on policies identified as relevant to the overarching goals set forth in the EGD. It also considers relevant initiatives at global and regional levels.
The marine life regime sees the EU Biodiversity Strategy for 2030 as its overarching strategy, essential for the EGD's element of preserving and restoring ecosystems and biodiversity. Tackling the challenges of marine waste pollution, the marine plastics regime is guided by the EU Circular Economy Action Plan and the EU Action Plan: Towards Zero Pollution for Air, Water, and Soil, targeting the EGD's elements of a mobilizing industry for a clean and circular economy and a zero-pollution ambition for a toxic-free environment. The marine energy regime is shaped by the European Climate Law and the Offshore Renewable Energy Strategy, which are the overarching instruments that contribute to the EGD's elements of increasing the EU's climate ambition for 2030 and 2050 and ensuring the supply of clean, affordable, and secure energy. Lastly, the maritime transport regime sees the'Fit for 55'Package and the'Sustainable and Smart Mobility Strategy'as the two main instruments to achieve the EGD's elements of increasing the EU.
Continuous inspection and mapping of the seabed allows for monitoring the impact of anthropogenic activities on benthic ecosystems. Compared to traditional manual assessment methods which are impractical at scale, computer vision holds great potential for widespread and long-term monitoring.
We deploy an underwater remotely operated vehicle (ROV) in Jammer Bay, a heavily fished area in the Greater North Sea, and capture videos of the seabed for habitat classification. The collected JAMBO dataset is inherently ambiguous: water in the bay is typically turbid which degrades visibility and makes habitats more difficult to identify. To capture the uncertainties involved in manual visual inspection, we employ multiple annotators to classify the same set of images and analyze time spent per annotation, the extent to which annotators agree, and more.
We then evaluate the potential of vision foundation models (DINO, OpenCLIP, BioCLIP) for automating image-based benthic habitat classification. We find that despite ambiguity in the dataset, a well chosen pre-trained feature extractor with linear probing can match the performance of manual annotators when evaluated in known locations. However, generalization across time and place is an important challenge.
The introduction of Marine Non-Indigenous Species (NIS) poses a significant threat to global marine biodiversity and ecosystems. To mitigate this risk, the Ballast Water Management Convention (BWMC) was adopted by the UN International Maritime Organisation (IMO), setting strict criteria for discharges of ballast water. However, the BWMC permits exemptions for shipping routes operating within a geographical area, known as a Same-Risk-Area (SRA). An SRA can be established in areas where a risk assessment (RA) can conclude that the spread of NIS via ballast water is low relative to the predicted natural dispersal. Despite the BWMC's requirement for RAs to be based on modelling of the natural dispersal of NIS, no standard procedures have been established. This paper presents a methodology utilizing biophysical modelling and marine connectivity analyses to conduct SRA RA and delineation. Focusing on the Kattegat and Øresund connecting the North Sea and Baltic Sea, we examine two SRA candidates spanning Danish and Swedish waters. We provide an example on how to conduct an RA including an RA summary, and addressing findings, challenges, and prospects. Our study aims to advance the development and adoption of consistent, transparent, and scientifically robust SRA assessments for effective ballast water management.