Phase 1 recap: from foundations to application

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    • WP1: Project coordination
    • WP2: Data collation
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WP2: Data collation

Protecting the Baltic Sea starts with knowing what is there, where it is, and how it is protected. Work Package 2 (WP2) brings together data on biodiversity, human activities and pressures, Marine Protected Areas (MPAs), and MPA management from across the Baltic Sea region into harmonized regional datasets.


Work so far in the project has shown just how complex that task is. National systems differ in terminology, legal frameworks, data structures, and the way protected areas are defined and mapped. Through regional data calls, direct dialogue with national authorities, systematic harvesting and extensive cleaning and harmonization, the work is turning those different national pictures into data that can be used at Baltic Sea scale. 


During the first part of phase 1, the work was coordinated by Kimmo Koivumäki, GIS Data Specialist at HELCOM Secretariat, with work on collecting, harvesting, and harmonizing data from MPAs and management plans led by Estefania Cortez, Project Manager and Legal Expert from Coalition Clean Baltic. 


Other partners involved: BfN, SYKE, SLU, UTARTU & VSTT.

Kimmo Koivumäki

WP Lead 

for WP2

Estefania Cortez

Task Lead for MPA data harvesting & WP Co-Lead for WP7

How the data comes together

At the heart of this effort is a common approach to collecting, structuring, and managing data. A project Data Management Plan provides the overall framework, while regional data calls and targeted data collection brought together information held by national authorities and other established sources. 


The work draws on national datasets, official management plans and similar legal or administrative instruments, as well as established open data sources such as ICES and EMODnet. WP2 has also compiled information on species, habitats, human activities and pressures and identifies remaining data gaps.


Rather than simply assembling existing datasets, the work focuses on making them comparable and usable together. This means checking definitions, resolving overlaps, translating and standardizing information, documenting national differences, and, where necessary, returning to the countries to clarify what the data actually represents.

From individual protected sites to one regional picture

One of the clearest examples of this work is the new regional picture of the Baltic Sea MPA network. When the project began, the first data call in November 2023 produced a list of 1,856 MPAs. A second data call, launched in December 2024, expanded both the scope and the level of detail by asking countries for spatial polygons and legal measures alongside their protected-area information.


The resulting harmonized spatial dataset now contains 3,455 protected sites associated with spatial polygons across the Baltic Sea (April 2026). The polygons were supplied and linked each site to its spatial boundary and designation. Together, they make it possible to view the region’s protected areas not simply as isolated places, but as a network.


This regional dataset is already available through the HELCOM Map and Data Service. It provides a foundation for the project’s ecological coherence assessment, spatial protection optimization work, and the development of the MPA Portal.


The exercise also revealed an important caveat: a regional MPA count is not as simple as adding together national lists. Countries organize and designate protected areas differently due to their governance and regulatory systems in place, and one protected area may include several spatial or legal components. The project has therefore had to document these national structures carefully so that the regional dataset remains transparent about what is being counted and mapped to fulfil regional commitments, such as the 30 by 30 target by 2030 under the Kunming-Montreal Global Biodiversity Framework.

Connecting pieces: shaping the picture of a regional MPA network

Understanding how MPAs are really managed

A second major strand looked beyond where protected areas are located to how they are managed in practice. The task systematically collated, harvested and cleaned accessible MPA-specific management information, using official management plans or similar instruments as its main source.


The harvesting process captured comparable information on management, conservation features, pressures, and measures, while preserving the national context needed to interpret it. The aim was to create a harmonized, English-language regional dataset that can support analysis across different countries and MPA designation types.


As of August 2026, 780 management plans or similar instruments had been harvested, with a further 337 in the harvesting process. That work currently covers 1,548 protected sites, with the second round of harvesting for Sweden and Finland still ongoing. Because one management instrument can cover several sites, and some sites or subareas can be covered by more than one instrument, the number of plans and the number of protected sites covered do not have a one-to-one correspondence.

Uncovering gaps in MPA management

A six-step process

What began as a relatively straightforward compilation and translation exercise developed into a six-step process:

 

  1. Initial compilation of MPA lists and management instruments; 
  2. Targeted harvesting of management-plan content; 
  3. A complementary data call for MPAs, polygons and legal measures;
  4. Review and integration of the new material; 
  5. Data cleaning and harmonization together with a second round of targeted harvesting; and 
  6. Validation by the HELCOM Contracting Parties.


Every management plan has been read and interpreted by people rather than taking any shortcuts by processing through AI. 


Shared templates and code lists have been used to make the results comparable, while direct dialogue with national experts has been essential for understanding differences in national legislation, terminology, and institutional dynamics.

Tackling gaps and national differences

The scale and complexity of the task became much clearer as the work progressed. The original expectation of roughly 300 protected sites proved far below the real regional scope, while management plans, in their native language, varied greatly in format, structure, and level of detail.


The work therefore required an adaptive approach. Templates and data structures were refined as new information arrived; a second targeted data call was used to close gaps, and national authorities became active partners in interpreting and prioritizing the information.


A central challenge has been the absence of a single standardized way of describing marine protected areas and their management across the Baltic Sea countries. The harmonization work has made those differences visible, but that is also one of its strengths: the dataset can retain important national distinctions while providing a common regional structure for analysis.


This has also required a closer look at what officially counts as an MPA or protected site under different national systems. Different designation frameworks, jurisdictions, and relationships between sites and subareas mean that the regional picture cannot rely on a single crtiteria alone. Making these distinctions explicitly is essential for interpreting both the MPA inventory and the management of information correctly.


The lessons from this process will also inform the project’s country profiles under WP7 Legislation, a as well as a  broader work on governance, helping explain not only what protection exists, but how national systems differ in the way protection is organized and implemented.

From raw data to actionable knowledge

The MPA spatial dataset is now being put to use across PROTECT BALTIC. It underpins work to assess the ecological coherence of the Baltic Sea MPA network and to explore how spatial protection could be optimized. The management dataset will support WP6 assessments of management effectiveness and the sufficiency of measures, while harmonized site-level information will feed into the public MPA Portal being developed in WP8.


The next major step for management information is national validation. HELCOM Contracting Parties will nominate experts to review all collated and cleaned data through the MPA Portal administration interface, ensuring further control of the data to be publicly available. 


Together, these datasets will provide something the Baltic Sea region has not had before: a harmonized, region-wide picture that connects where protection exists with validated information on how it is managed. That shared evidence base will make it easier to identify gaps, help with regional and global reporting, compare approaches and support more coherent and effective marine protection across the region.

Deliverables

Data Management Plan

Report on what data has been collated & uploaded to various databases & portals

Updated Biodiversity Database

Data Management Plan

Updated Biodiversity Database

Report on what data has been collated & uploaded to various databases & portals

Updated Biodiversity Database

Updated Biodiversity Database

Updated Map & data service

Report on what data has been collated & uploaded to various databases & portals

Report on what data has been collated & uploaded to various databases & portals

Updated Map & data service

Report on what data has been collated & uploaded to various databases & portals

Report on what data has been collated & uploaded to various databases & portals

Report on what data has been collated & uploaded to various databases & portals

Report on collated data

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Gap analysis

Report on data gaps

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Coming in August 2027

Updated Data Management Plan

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Final Updated Data Management Plan

Coming in August 2027

Final Updated Data Management Plan

Updated gap analysis of data to get a clear overview of further data needs and infrastructure development

Final Updated Data Management Plan

Coming in May 2028

Updated MPA Portal

Updated MPA Portal

Updated MPA Portal

Coming in February 2028


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