TY - JOUR
T1 - Data about marine area-based management tools to assess their contribution to the UN sustainable development goals
AU - Gissi, Elena
AU - Maes, Frank
AU - Kyriazi, Zacharoula
AU - Ruiz-Frau, Ana
AU - Santos, Catarina Frazão
AU - Neumann, Barbara
AU - Quintela, Adriano
AU - Alves, Fátima L.
AU - Borg, Simone
AU - Chen, Wenting
AU - Fernandes, Maria da Luz
AU - Hadjimichael, Maria
AU - Manea, Elisabetta
AU - Marques, Márcia
AU - Platjouw, Froukje Maria
AU - Portman, Michelle E.
AU - Sousa, Lisa P.
AU - Bolognini, Luca
AU - Flannery, Wesley
AU - Grati, Fabio
AU - Pita, Cristina
AU - Văidianu, Natașa
AU - Stojanov, Robert
AU - van Tatenhove, Jan
AU - Micheli, Fiorenza
AU - Hornidge, Anna-Katharina
AU - Unger, Sebastian
N1 - © 2021 Published by Elsevier Inc.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Deep seabed mining
KW - Fisheries management
KW - International and regional agreements
KW - Marine protected areas
KW - Marine spatial planning
KW - Shipping
KW - Underwater cultural heritage
UR - http://www.scopus.com/inward/record.url?scp=85121130578&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2021.107704
DO - 10.1016/j.dib.2021.107704
M3 - Journal article
C2 - 34977293
SN - 2352-3409
VL - 40
JO - Data in Brief
JF - Data in Brief
M1 - 107704
ER -