Investing in data collection and decision support tools for planning and monitoring#
Description#
General description
Effective MSP processes and biodiversity management require robust data collection systems and application of user-friendly decision support tools. Currently, limited access to high-quality data and a lack of practical tools hinder informed decision-making and adaptive management processes (Pinarbasi, 2017). This solution proposes investing in comprehensive data collection, developing accessible decision support tools, and providing clear guidelines for their application in planning, monitoring, and adaptation efforts. By enhancing data availability and usability, stakeholders can make more informed and effective decisions to achieve biodiversity and sustainability objectives.
Main purpose
To improve data-driven decision-making in MSP and biodiversity management, the following actions are recommended:
Increase investment in comprehensive data collection initiatives to fill critical information gaps.
Develop and implement user-friendly decision support tools tailored to the needs of planners and stakeholders.
Provide clear guidelines and training for the effective use of these tools in planning, monitoring, and adaptive management.
Barriers addressed
Limited data availability:
Incomplete or outdated datasets hinder accurate assessments and planning.
Difficulty in accessing standardized and comparable data across regions.
Complexity of decision support tools:
Existing tools are often too complex or not tailored to user needs.
Lack of training and guidance reduces the effectiveness of these tools.
Fragmented data management systems:
Inconsistent data collection and storage practices across institutions.
Limited integration of data from multiple sources into cohesive platforms.
Policy relevance
This solution supports the EUBS2030 and the MSFD by improving the availability and accessibility of data necessary to achieve GES. It also aligns with the MSP Directive by promoting EBA and evidence-based planning. By addressing data and tool-related barriers, this solution enhances policy coherence and facilitates the integration of biodiversity objectives into planning and monitoring processes at national and regional levels.
Implementation
Data collection initiatives: Invest in targeted data collection programs to gather high-quality, up-to-date information on marine biodiversity, ecosystem health, and human activities. Prioritize areas with significant data gaps and ensure standardization of methodologies.
Development of decision support tools: Design and implement user-friendly tools that integrate spatial and ecological data to support planning and monitoring efforts. These tools should be adaptable to different scales and contexts, ensuring broad applicability.
Guidelines and training: Develop clear guidelines and provide training programs for planners and stakeholders on the effective use of decision support tools. Emphasize practical applications, such as scenario planning, impact assessments, and adaptive management.
Impact and effort
Impact: Moderate
This solution enhances data-driven decision-making, improving the integration of biodiversity objectives into MSP and adaptive management processes. While the impact may be moderate due to its focus on supporting rather than driving policies, it lays the foundation for more effective and informed planning.
Required effort: Moderate
The implementation of this solution requires moderate effort, including financial investment, stakeholder engagement, and technical development. However, leveraging existing data platforms and collaborating with stakeholders can reduce complexity and accelerate adoption.
Investing in data collection and decision support tools: good practices
The European Biodiversity Strategy for 2030 serves as a key lever by mandating improved monitoring and data collection to support biodiversity objectives across Member States.
Regional Seas Conventions such as HELCOM, OSPAR, Barcelona Convention and Bucharest Convention provide frameworks that promote data-sharing and cross-border collaboration to enhance biodiversity mainstreaming.
Integration of biodiversity monitoring requirements into sectoral policies, particularly in fisheries and maritime transport, to improve policy coherence and evaluation mechanisms.
The European Marine Observation and Data Network (EMODnet) provides open and free access to interoperable data and data products on the temporal and spatial distribution of marine species across European regional seas. By adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable), EMODnet ensures that its data and metadata are standardized and easily accessible for various stakeholders.
The EU’s Maritime Spatial Planning Platform provides resources and case studies related to decision support tools in MSP. This platform offers insights into practical applications of DSTs, their benefits, and challenges encountered during implementation.
Decision support tools assist planners throughout various stages of the MSP process, including defining spatial and temporal boundaries, mapping significant areas, and designing appropriate management actions. (See: Deliverable 5.3 Site specific solutions and applications from test sites)