Abstract
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.
Original language | English |
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Article number | 107704 |
Number of pages | 5 |
Journal | Data in Brief |
Volume | 40 |
Early online date | 15 Dec 2021 |
DOIs | |
Publication status | Published - Feb 2022 |
Bibliographical note
Funding Information:This research was conducted in the framework of COST action on ?Ocean Governance for Sustainability - challenges, options and the role of science?, CA15217, within the Working Group 2 ?Area Based Management? activities. We would like to thank COST for the funding that made the cooperation amongst the authors, and thus this article, possible. EG partially acknowledges also funding from PORTODIMARE ?geoPORtal of TOols & Data for sustaInable Management of coAstal and maRine Environment? (2018?2020), Adriatic-Ionian Programme INTERREG V?B Transnational 2014?2020, grant no. 205, and funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie grant agreement No 893614-4, reflecting only the authors' view; AQ partially acknowledges the Project SIMAtlantic (grant no. EASME/EMFF/2018/1.2.1.5); MLF partially acknowledges the Portuguese Foundation for Science and Technology (FCT), with a Do*Mar programme PhD grant (PD/BD/113485/2015); MM partially acknowledges FCT, with a PhD grant (SFRH/BD/138422/2018). AQ, FA, MLF, LS, MM, CP partially acknowledge the financial support to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020), through national funds. CFS partially acknowledges funding from FCT research contract 2020.03704.CEECIND, research grant PTDC/CTA-AMB/30226/2017, and MARE strategic project UID/MAR/04292/2019. NV partially acknowledges also funding from the Romanian National Authority for Scientific Research and Innovation, grants no. CNCS-UEFISCDI PN-III-P1-1.1-TE-2016-2491, PN-III-P1-1.1-TE-2019-1444, and the project T4BS (grant no. EASME/EMFF/2019/863621). The work of CP was supported by FCT research contract 2020.02510.CEECIND. The work of BN and SU was supported by the German Federal Ministry of Education and Research (BMBF) through its Research for Sustainable Development program (FONA), and the Federal State of Brandenburg.
Funding Information:
This research was conducted in the framework of COST action on “Ocean Governance for Sustainability - challenges, options and the role of science”, CA15217, within the Working Group 2 “Area Based Management” activities. We would like to thank COST for the funding that made the cooperation amongst the authors, and thus this article, possible. EG partially acknowledges also funding from PORTODIMARE “geoPORtal of TOols & Data for sustaInable Management of coAstal and maRine Environment” (2018–2020), Adriatic-Ionian Programme INTERREG V–B Transnational 2014–2020, grant no. 205, and funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893614-4, reflecting only the authors' view; AQ partially acknowledges the Project SIMAtlantic (grant no. EASME/EMFF/2018/1.2.1.5); MLF partially acknowledges the Portuguese Foundation for Science and Technology (FCT), with a Do*Mar programme PhD grant (PD/BD/113485/2015); MM partially acknowledges FCT, with a PhD grant (SFRH/BD/138422/2018). AQ, FA, MLF, LS, MM, CP partially acknowledge the financial support to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020), through national funds. CFS partially acknowledges funding from FCT research contract 2020.03704.CEECIND, research grant PTDC/CTA-AMB/30226/2017, and MARE strategic project UID/MAR/04292/2019. NV partially acknowledges also funding from the Romanian National Authority for Scientific Research and Innovation, grants no. CNCS-UEFISCDI PN-III-P1-1.1-TE-2016-2491, PN-III-P1-1.1-TE-2019-1444, and the project T4BS (grant no. EASME/EMFF/2019/863621). The work of CP was supported by FCT research contract 2020.02510.CEECIND. The work of BN and SU was supported by the German Federal Ministry of Education and Research (BMBF) through its Research for Sustainable Development program (FONA), and the Federal State of Brandenburg.
Publisher Copyright:
© 2021
Keywords
- Deep seabed mining
- Fisheries management
- International and regional agreements
- Marine protected areas
- Marine spatial planning
- Shipping
- Underwater cultural heritage
ASJC Scopus subject areas
- General