Current status, advancements and development needs of geospatial decision support tools for marine spatial planning in European seas

Abstract The implementation of marine spatial plans as required by the Directive on Maritime Spatial Planning (MSP) of the European Union (EU) poses novel demands for the development of decision support tools (DST). One fundamental aspect is the need for tools to guide decisions about the allocation of human activities at sea in ways that are ecosystem-based and lead to sustainable use of resources. The MSP Directive was the main driver behind the development of spatial and non-spatial DSTs for the analysis of marine and coastal areas across European seas. In this research we develop an analytical framework designed by DST software developers and managers for the analysis of six DSTs supporting MSP in the Baltic Sea, the North Sea, and the Mediterranean Sea. The framework compares the main conceptual, technical and practical aspects, by which these DSTs contribute to advancing the MSP knowledge base and identified future needs for the development of the tools. Results show that all of the studied DSTs include elements to support ecosystem-based management at different geographical scales (from national to macro-regional), relying on cumulative effects assessment and functionalities to facilitate communication at the science-policy interface. Based on our synthesis we propose a set of recommendations for knowledge exchange in relation to further DST developments, mechanisms for sharing experience among the user-developer community, and actions to increase the effectiveness of the DSTs in MSP processes.

[1]  Joey R. Bernhardt,et al.  Modeling benefits from nature: using ecosystem services to inform coastal and marine spatial planning , 2012 .

[2]  Andy Stock,et al.  Effects of model assumptions and data quality on spatial cumulative human impact assessments , 2016 .

[3]  C. Göke,et al.  Maritime Spatial Planning supported by systematic site selection: Applying Marxan for offshore wind power in the western Baltic Sea , 2018, PloS one.

[4]  S. Molander,et al.  Cumulative impact assessment for ecosystem-based marine spatial planning. , 2020, The Science of the total environment.

[5]  I. Galparsoro,et al.  A GIS-based tool for an integrated assessment of spatial planning trade-offs with aquaculture , 2018, The Science of the total environment.

[6]  James A. Wilson.  Learning, adaptation, and the complexity of human and natural interactions in the ocean , 2017 .

[7]  Alessandro Sarretta,et al.  Tools4MSP: an open source software package to support Maritime Spatial Planning , 2018, PeerJ Comput. Sci..

[8]  Mohammed,et al.  Evaluation of the Decision Support Systems , 2017 .

[9]  Ibon Galparsoro,et al.  Decision support tools in marine spatial planning: Present applications, gaps and future perspectives , 2017 .

[10]  A. Barbanti,et al.  Addressing cumulative effects, maritime conflicts and ecosystem services threats through MSP-oriented geospatial webtools , 2018, Ocean & Coastal Management.

[11]  Fanny Douvere,et al.  Marine spatial planning: a step-by-step approach toward ecosystem based management , 2009 .

[12]  Ibon Galparsoro,et al.  End users’ perspective on decision support tools in marine spatial planning , 2019, Marine Policy.

[13]  S. Kark,et al.  The Crowded Sea: Incorporating Multiple Marine Activities in Conservation Plans Can Significantly Alter Spatial Priorities , 2014, PloS one.

[14]  S. Andelman,et al.  COMPARING MARINE AND TERRESTRIAL ECOSYSTEMS: IMPLICATIONS FOR THE DESIGN OF COASTAL MARINE RESERVES , 2003 .

[15]  Nicolas Chaumont,et al.  Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions , 2015 .

[16]  Cary Chadwick,et al.  Integration of ecosystem-based models into an existing interactive web-based tool for improved aquaculture decision-making , 2016 .

[17]  Henning Sten Hansen.  Cumulative Impact of Societal Activities on Marine Ecosystems and Their Services , 2019, ICCSA.

[18]  R. Aps,et al.  Online tool to integrate evidence-based knowledge into cumulative effects assessments: Linking human pressures to multiple nature assets , 2020 .

[19]  T. Sullivan.  EVALUATING ENVIRONMENTAL DECISION SUPPORT TOOLS. , 2004 .

[20]  A. Barbanti,et al.  Incorporating ecosystem services conservation into a scenario-based MSP framework: An Adriatic case study , 2020 .

[21]  Martin Welp.  The Use of Decision Support Tools in Participatory River Basin Management , 2001 .

[22]  A. Barbanti,et al.  A modelling framework for MSP-oriented cumulative effects assessment , 2018, Ecological Indicators.

[23]  Stuart I. Rogers,et al.  Practical tools to support marine spatial planning: A review and some prototype tools , 2013 .

[24]  Thomas Backhaus,et al.  An effective set of principles for practical implementation of marine cumulative effects assessment , 2015 .

[25]  Phillip Cassey,et al.  Capturing expert uncertainty in spatial cumulative impact assessments , 2018, Scientific Reports.

[26]  Igor Mayer,et al.  Gaming the Future of the Ocean: The Marine Spatial Planning Challenge 2050 , 2014, SGDA.

[27]  M. Elliott,et al.  Linking modelling and empirical data to assess recreation services provided by coastal habitats: The case of NW Portugal , 2017, Ocean & Coastal Management.

[28]  Göran Lindström,et al.  Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin - influence of input-data quality and scale , 2012 .

[29]  Daniel Depellegrin,et al.  Multi-objective spatial tools to inform maritime spatial planning in the Adriatic Sea. , 2017, The Science of the total environment.

[30]  A. Turra,et al.  Unveiling the genesis of a marine spatial planning arena in Brazil , 2019, Ocean & Coastal Management.

[31]  Richard F. Schmidt.  Functional Analysis and Allocation Practice , 2013 .

[32]  Anne Luttmann,et al.  Knowledge integration in Marine Spatial Planning: A practitioners' view on decision support tools with special focus on Marxan , 2019, Ocean & Coastal Management.

[33]  R. Jak,et al.  Unravelling the myth – The use of Decisions Support Systems in marine management , 2018 .

[34]  Natalia Serpetti,et al.  Combining ecosystem modeling with serious gaming in support of transboundary maritime spatial planning , 2020 .

[35]  David C. Rose,et al.  Decision support tools for agriculture: Towards effective design and delivery , 2016 .

[36]  B. Martín‐López,et al.  Exploring intrinsic, instrumental, and relational values for sustainable management of social-ecological systems , 2017 .

[37]  Carrie V. Kappel,et al.  A Global Map of Human Impact on Marine Ecosystems , 2008, Science.

[38]  Andrea Barbanti,et al.  Sviluppo ed analisi di proposte di ICZM-MSP in aree specifiche: costa emiliano-romagnola. Volume 1: Quadro conoscitivo di riferimento e sua analisi ai fini della pianificazione dello spazio marittimoICM-MSP nella Regione Adriatico Ionica , 2017 .

[39]  John N. Stockbridge,et al.  A meta-analysis of multiple stressors on seagrasses in the context of marine spatial cumulative impacts assessment , 2020, Scientific Reports.

[40]  Harald Warmelink,et al.  Communicating Maritime Spatial Planning: The MSP Challenge approach , 2019 .

[41]  F. Alves,et al.  Marine Spatial Planning in the Benguela Current Large Marine Ecosystem , 2020, Environmental Development.

[42]  Stephen Polasky,et al.  Catching the Right Wave: Evaluating Wave Energy Resources and Potential Compatibility with Existing Marine and Coastal Uses , 2012, PloS one.

[43]  Ralph H. Sprague,et al.  Building Effective Decision Support Systems , 1982 .

[45]  Sanjoy Roy,et al.  Assessing marine ecosystem services richness and exposure to anthropogenic threats in small sea areas: A case study for the Lithuanian sea space , 2020, Ecological Indicators.

[46]  Cathryn Clarke Murray,et al.  Cumulative effects of planned industrial development and climate change on marine ecosystems , 2015 .