Ocean sustainability for all requires deeper behavioural research

Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends

Despite a growing interest in interdisciplinary research, systematic ways of how to integrate data from different disciplines are still scarce. We argue that successful resource management relies on two key data sources: natural science data, which represents ecosystem structure and processes, and social science data, which describes people's perceptions and understanding. Both are vital, mutually complementing information sources that can underpin the development of feasible and effective policies and management interventions. To harvest the added value of combined knowledge, a uniform scaling system is needed. In this paper, we propose a standardized methodology to connect and explore different types of quantitative data from the natural and social sciences reflecting temporal trends in ecosystem quality. We demonstrate this methodology with different types of data such as fisheries stocks and mangrove cover on the one hand and community's perceptions on the other. The example data are collected from three United Nations Educational Scientific and Cultural Organization (UNESCO) Biosphere reserves and one marine park in Southeast Asia. To easily identify patterns of convergence or divergence among the datasets, we propose heat maps using colour codes and icons for language- and education-independent understandability. Finally, we discuss the limitations as well as potential implications for resource management and the accompanying communication strategies.

This article is part of the theme issue ‘Nurturing resilient marine ecosystems’.

Fish crimes in the global oceans

This study provides a global assessment of the linkages between observed fisheries-related offenses across the world's oceans between 2000 and 2020. We analyze data from the largest existing repository with 6853 events reporting offenses across 18 fishing-related categories, including illegal fishing, human rights abuses, and smuggling. We find that at least 33% of all recorded offenses are associated with 450 industrial vessels and 20 companies originating from China, the EU, and tax haven jurisdictions. We observe links between various types of offenses for 779 vessels, with such "transversal criminality" involving 2000 offenses and crimes globally. This study demonstrates the ability to identify offenders and patterns of behaviors threatening fisheries sustainability at a global level and countries most vulnerable to transversal criminality. In light of concerns for widespread underreporting and impunity, we call for greater information sharing, interagency cooperation, and stringent enforcement to bring to account major offenders.