Data about marine area-based management tools to assess their contribution to the UN sustainable development goals

• Published in: Data in brief Vol. 40; p. 107704
• Main Authors: Gissi, Elena, Maes, Frank, Kyriazi, Zacharoula, Ruiz-Frau, Ana, Santos, Catarina Frazão, Neumann, Barbara, Quintela, Adriano, Alves, Fátima L., Borg, Simone, Chen, Wenting, Fernandes, Maria da Luz, Hadjimichael, Maria, Manea, Elisabetta, Marques, Márcia, Platjouw, Froukje Maria, Portman, Michelle E., Sousa, Lisa P., Bolognini, Luca, Flannery, Wesley, Grati, Fabio, Pita, Cristina, Văidianu, Natașa, Stojanov, Robert, van Tatenhove, Jan, Micheli, Fiorenza, Hornidge, Anna-Katharina, Unger, Sebastian
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.02.2022; Elsevier
• Subjects: Data; Deep seabed mining; Fisheries management; International and regional agreements; Marine protected areas; Marine spatial planning; Shipping; Underwater cultural heritage; International and regional agreements; Deep seabed mining; Fisheries management; Underwater cultural heritage; Marine protected areas; Marine spatial planning; Shipping
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2021.107704

The dataset presented in this article contains information about marine Area-Based Management Tools (ABMTs) used to assess their contribution to the United Nations 2030 Sustainable Development Goals. Following the scope of the analysis, ABMTs were identified by scrutinizing international and regional legal sources related to ocean management in the fields of marine conservation, fisheries, deep sea bed mining, underwater natural and cultural heritage, environmental conservation, and marine spatial planning. Legal sources were screened to depict the following characteristics of individual ABMTs: i) management objectives; ii) authorities responsible for delivering such objectives; iii) the system of management and planning entailed in the ABMT including the zoning type; and iv) the specific spatial scope and domain each ABMT refer to in vertical depth and horizontal domain. Data were generated through an internal expert elicitation. Experts, initially trained in the data analysis and related protocol, contributed to the data production because of their specific knowledge and experience in ocean management. This dataset represents a unique source of information for advancing research about monitoring and assessment of the achievement of sustainable development goals that encompasses different types of ABMTs.