Data Analysis in Deep-Sea Mineral and Organism Interplay: A Review

Abstract

The deep sea, a realm characterized by extreme environmental conditions and remarkable biodiversity, has become a focal point for both scientific exploration and industrial exploitation. This comprehensive review aims to elucidate the data analysis techniques that are instrumental in studying the complex relationship between deep-sea mineral resources and the organisms that inhabit these extreme environments. The paper begins by outlining the types of deep-sea mineral resources and their distribution, followed by an overview of the methods and technologies used for exploration and extraction. It then delves into the diversity and classification of deep-sea organisms, their unique survival mechanisms, and their ecological roles. The core of the review focuses on data analysis techniques, covering traditional methods, advancements in machine learning and AI, and the inherent challenges and limitations in analyzing intricate deep-sea data. The paper concludes by discussing the direct and indirect impacts of mineral extraction on deep-sea ecosystems, supported by case studies and potential long-term effects on biodiversity and ecosystem health.