Economics in Marine Spatial Planning: A Review of Issues in British Columbia and Similar Jurisdictions
Abstract
:1. Introduction
2. General Context of the Study and MSP Definition
3. Methodology
4. Economic and Social Aspects of MSP
4.1. Main Socio-Economic Aspects Included in MSP
4.2. Different Uses of Socio-Economic Aspects in MSP
4.3. Socio-Economic Aspects in the MSP Decision Support Tools
5. Application of Economics to Inform MSP Decisions
6. Discussion
7. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Canada | US | UK | Belgium | Australia | Germany | |
---|---|---|---|---|---|---|
National Plan | No | No | No | Yes | No | No |
Regional or state plan | Southern BC; Pacific North Coast; Newfoundland & Labrador shelves; Estuary and Gulf of St. Lawrence; and Scotian Shelf and Bay of Fundy. | Northeast Ocean Plan; Massachusetts Ocean Management Plan; Mid–Atlantic Regional Ocean Action Plan; Rhode Island Ocean Special Area Management Plan; Draft Marine Spatial Plan for Washington’s Pacific Coast and Oregon Territorial Sea Plan. | East Inshore and East; South Inshore and South Offshore Marine Plans (England); Offshore Marine Plans (England); Scotland’s National Marine Plan; Welsh National Marine Plan and Marine Plan for Northern Ireland. | Belgian Part of the North Sea; Flanders. | Great Barrier Reef Marine Park Zoning Plan; Marine Bioregional Plan for the North–west Marine Region; Marine Bioregional Plan for the South–west Marine Region; Marine Bioregional Plan for the North Marine Region; South–east Regional Marine Plan; Marine Bioregional Plan for the Temperate East Marine Region. | Maritime Spatial Plan for the Exclusive Economic Zone (EEZ) of the North Sea; Maritime Spatial Plan for the EEZ of the Baltic Sea; State Development Plan for Schleswig– Holstein; Spatial Planning Program of Lower Saxony; and Spatial Development Program of Mecklenburg– Vorpommer. |
Responsible ministry at regional plan | Minister of Fisheries and Oceans | Regional Advisory Committees | Marine Management Organization with regional marine management plans | The Belgian Minister for the North Sea | Regional Marine Plans under Commonwealth Environment Department | Ministry of Energy, Infrastructure and Digitalization (Mecklenburg–Vorpommer) |
Focus area | Environmental protection and economic development | Manage conservation and biodiversity (e.g., Northeast Ocean plan) | Sustainable development | Improve management of the Belgian Part of the North Sea | Support environmental protection and maritime economy | Support maritime economy and environmental protection |
Legal binding | Ocean Act is non-binding. | Mandated | Not legally binding | Royal Decree | Mandated | General Spatial Planning Act |
Environment assessment | Cabinet Directive on Strategic Environmental Assessment | Strategic Environmental Assessment | Strategic Environment Assessment |
Country | Authority | Official Terminology | Official Definition |
---|---|---|---|
Canada | The Department of Fisheries and Oceans Canada (DFO) | Marine spatial planning | Marine spatial planning is a process for managing ocean spaces to achieve ecological, economic, cultural and social objectives. We advance marine spatial planning in Canada in collaboration with other federal departments, provincial, territorial and Indigenous governments as well as relevant stakeholders. |
USA | The National Oceanic and Atmospheric Administration (NOAA) | Coastal and marine spatial planning | A compilation of geospatial data to create a national framework for coastal and marine spatial planning, complete with data, tools, and information to bolster transparent, science-based decision-making to enhance regional economic, environmental, social, and cultural well-being. |
England | Marine Management Organisation | Marine planning |
|
Norway | Government of Norway | Integrated ocean management plans | The purpose of the management plans is to provide a framework for value creation through the sustainable use of marine natural resources and ecosystem services and at the same time maintain the structure, functioning, productivity and diversity of the ecosystems. |
Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Poland, Portugal, Romania, Slovenia, Spain, Sweden | European Commission (For an update on the adoption of MSP plans in each of the European Commission’s member countries, please consult this link) | Marine spatial planning |
|
Stage | Description | Key Features |
---|---|---|
Initial Phase (e.g., Vietnam Danang Master Plan Towards 2030) | – Emerged in the late 20th century as a response to increasing conflicts over marine resource use. – Informal and ad hoc approaches to managing marine space. – Limited integration of environmental considerations. | – Reactive management. – Lack of coordination among stakeholders. – Focus on sector-specific regulations |
Development Phase (e.g., Ecuador’s Galapagos Marine Reserve Management Plan) | – Late 1990s to early 2000s saw the emergence of formal MSP frameworks. – Recognition of the need for holistic and integrated management of marine space. – Growing emphasis on stakeholder engagement and participatory processes. | – Identification of marine planning areas. – Assessment of marine resources and uses. – Integration of ecological, social, and economic considerations. – Stakeholder involvement and public participation. |
Maturation Phase (e.g., Australia EEZ, including Norfolk Island). | – Mid-2000s onwards witnessed the maturation of MSP as a recognized management approach. – Increasing adoption of MSP at national and regional levels. – Emphasis on ecosystem-based management and sustainability principles. | – Integration of ecosystem-based approach. – Strategic goals and objectives for marine management. – Development of marine spatial plans and zoning systems. – Incorporation of adaptive management and monitoring. – Emphasis on cross-sectoral coordination. |
Implementation Phase (e.g., E.g., Belize (TS) Integrated Coastal Zone Management Plan, Norway (EEZ and TS) | – Current phase focused on the practical implementation of MSP. – Emphasis on plan implementation, monitoring, and evaluation. – Iterative process to learn and adapt over time. – Continued engagement with stakeholders and adaptive management. | – Implementation of marine spatial plans. – Monitoring of ecological and socio-economic indicators. – Review and revision of plans based on feedback and changing conditions. – Integration with existing governance structures and policies. |
Economic Decision Support Tools (DST) | Scenarios Analysis. |
---|---|
Uses of DST | Provides management scenarios and guide management to develop their own solutions. Provides a set of structured information to aid in decision-making and analysis. |
Country/MSP | USA, European Union, Australia. E.g., scenario planning has been used in Australia for MSP efforts, such as the Great Barrier Reef Marine Park, which considered scenarios of climate change, population growth, and land use changes to guide conservation and management strategies. |
Limitation | Scenario planning can be resource-intensive, requiring significant time, expertise, and financial investment to develop and analyze. Unreliable data can constrain the effectiveness of the process. |
Data-intensive level | High: Data on environmental conditions, socio-economic indicators, policy frameworks, and other relevant factors. |
Output variable | Plausible future scenarios, visualizations of spatial and temporal changes, impact assessments, and identification of key vulnerabilities and opportunities. These outputs inform decision-making by providing a range of potential future outcomes and their associated implications for MSP. |
References | [72,73,74,75] |
Economic DSTs | InVEST, Complement with Cost-Effectiveness Analysis |
---|---|
Uses of DST | InVEST supports the evaluation of trade-offs between different management options. |
Country/MSP | China, Costa Rica, Colombia. E.g., InVEST has been employed in China for MSP, including the Beibu Gulf region, to evaluate the impacts of different management scenarios on multiple ecosystem services, such as fisheries production and coastal protection. |
Limitation | The accuracy of InVEST outputs can be influenced by the scale and resolution of the input data such as ecosystem characteristics, land use, hydrology, and socio-economic factors. |
Data-intensive level | High: Geospatial data on ecological characteristics, economic indicators, and ecosystem services. |
Output variable | Spatial maps and models depicting the distribution and value of ecosystem services, trade-off analyses, and valuation of ecosystem services. These outputs contribute to the identification of priority areas for conservation. |
References | [76,77,78] |
Economic DSTs | Input-Output Analysis |
---|---|
Uses of DST | Quantifies the socioeconomic importance of marine sectors in the total economy of a country or region. |
Country/MSP | German, Norway, Australia, The United States, The United Kingdom. E.g., the German Baltic Sea has utilized input–output analysis in MSP initiatives to assess the economic linkages and impacts of marine sectors such as fisheries, aquaculture, and tourism. |
Limitation | Input–output analysis assumes a static economic structure, not accounting for innovation, dynamic changes, or future market conditions. Data gaps can affect the accuracy and reliability of the analysis. |
Data-intensive level | High. Detailed economic data, such as input–output tables, sectoral data on production, employment, and value-added, as well as data on intersectoral linkages and transactions. |
Output variable | The output variables can include employment impacts, economic multipliers, value-added effects, and the assessment of direct and indirect effects of changes in the marine sector on the overall economy. |
References | [20,79] |
Economic DSTs | The Efficiency Frontier |
---|---|
Uses of DST | Allows comparison of very different ecosystem services, for example, MSP increased whale sector values by up to 5% at no cost to the offshore wind energy. |
Country/MSP | Massachusetts Ocean Management Plan (USA). |
Limitation | The identification of the efficiency frontier can be influenced by subjective choices, such as the selection of indicators, and weighting factors. |
Data-intensive level | Medium. Data on resource allocation, management effectiveness, desired outcomes or indicators, and spatial patterns of activities or ecosystem components. |
Output variable | Outputs may include optimal resource allocation and efficiency scores. The identification of management strategies or spatial plans that achieve desired outcomes most efficiently. |
References | [16] |
Economic DSTs | Cost-Benefit Analysis (CBA) |
---|---|
Uses of DST | CBA provides financial and social rationale for investing in the BE. |
Country/MSP | CBA has been applied in MSP projects. In Indonesia, NPV of an Indonesian MPA was estimated as USD 3.55.0 million. |
Limitation | Social and ecological aspects may be challenging to monetize. |
Data-intensive level | Economic data, market prices, valuation techniques. |
Output variable | Net present value (NPV), benefit-cost ratio, economic impact assessments. |
References | [3,80] |
Economic DST | Marxan |
---|---|
Uses of DST | Designing MPAs and conservation planning. |
Country/MSP | Marxan applied in the Great Barrier Reef Marine Park (Australia) to identify MPA designs that maximize conservation outcomes. |
Limitation | Computationally intensive, sensitive to input parameters, and may not account for all stakeholder preferences. |
Data-intensive level | High: Biodiversity data, habitat maps, socioeconomic data. |
Output variable | Optimal MPA configurations, conservation priorities, and cost-effectiveness analysis. |
References | [81] |
Economic DST | Geographic Information Systems (GIS) |
---|---|
Uses of DST | Spatial data management, visualization, and analysis. |
Country/MSP | GIS used in the MSP process of the United Kingdom’s Marine Management Organization to integrate various data layers and inform decision-making. |
Limitation | GIS requires georeferenced data, expertise in GIS software 3.34.2, and data quality control. |
Data-intensive level | Geospatial data on human activities, marine features, and habitats. |
Output variable | Maps, spatial analysis results, and visualization. |
References | [11] |
Economic DST | SeaSketch |
---|---|
Uses of DST | Interactive mapping and visualization tool for collaborative MSP. |
Country/MSP | SeaSketch has been employed in the Magallanes Region (Chile) and Massachusetts Ocean Management Plan (USA). |
Limitation | The effectiveness of SeaSketch is dependent on the availability and quality of spatial data and active participation from stakeholders. |
Data-intensive level | High-resolution data. Up-to-date datasets on marine ecosystems, habitats, species distributions, and socioeconomic factors such as tourism revenue. |
Output variable | Zoning plans, maps of potential impacts, cumulative impact assessments, and scenario-based visualizations. |
References | [82] https://legacy.seasketch.org/projects/ (14 February 2023) |
Economic DST | Ecopath with Ecosim (EwE) Is a Software Package Used for Ecosystem-Based MSP |
---|---|
Uses of DST | Impact assessment. EwE can simulate the effects of human activities, such as fishing or climate change, on the marine environment and assess the potential ecological consequences. |
Country/MSP | EwE has been utilized in South Africa for MSP, specifically in the Benguela Current region, to assess the impacts of different fishing scenarios on the ecosystem and inform management decisions. |
Limitation | EwE requires extensive data on species interactions, population dynamics, fishing effort, and environmental variables. |
Data-intensive level | High. EwE models require comprehensive data on species composition, trophic interactions, life history parameters, fishing effort, environmental variables (e.g., temperature, productivity), and other relevant ecosystem characteristics. |
Output variable | Estimates of species biomass, trophic interactions, fishing impacts, and indicators of ecosystem health. These outputs can guide decision-making in MSP. |
References | [83] |
Economic DST | Multi-Criteria Decision Analysis (MCDA) |
---|---|
Uses of DST | Evaluating and comparing multiple criteria and alternatives in decision -making. |
Country/MSP | MCDA applied in New Zealand’s MSP process to assess and prioritize different management scenarios based on ecological and socioeconomic criteria. |
Limitation | Subjective weighting of criteria, stakeholder engagement challenges, and difficulty in quantifying certain criteria. |
Data-intensive level | High: Data on ecological, economic, and social factors, stakeholder preferences, and decision criteria. |
Output variable | Evaluation scores, ranking of alternatives, and trade-off analysis. |
References | [84,85] |
Economic DST | Marine Spatial Planning Support System (MSPSS) |
---|---|
Uses of DST | MSPSS can be used to incorporate new uses, such as renewable energy or aquaculture. |
Country/MSP | South Africa, Australia, Norway. E.g., The South African MSPSS aids in incorporating various uses, such as offshore oil and gas exploration or marine tourism, into the MSP process. |
Limitation | Stakeholder engagement and local context are crucial for effective use of MSPSS, and its effectiveness may vary depending on the level of stakeholder involvement. |
Data-intensive level | Regional-scale datasets such as spatial data on ecological features (habitats, species distributions), socioeconomic factors (e.g., human activities), and governance aspects (e.g., regulations, management measures). |
Output variable | Spatial allocation of different uses (e.g., areas offshore wind farms). Quantitative assessments of the impacts of uses on ecological, socioeconomic, and governance factors. |
References | [86,87] |
Economic DST | Probabilistic Risk Assessment (PRA), Sensitivity Analysis Aiding Environment Risk Assessment |
---|---|
Uses of DST | Identifies the types of incentives needed to motivate higher compliance with regulations. Identifies and quantifies potential risks associated with marine activities, such as oil and gas exploration, shipping, or renewable energy installations. |
Country/MSP | MSP scenarios in the German EEZ of the North Sea. Gulf of Mexico (USA) has employed PRA to evaluate risks from offshore energy development, spills, and natural hazards, and to inform decision-making processes for resource management. |
Limitation | May not fully capture spatial and temporal variations in risks, particularly at finer scales or when considering dynamic changes in environmental conditions and human activities. |
Data-intensive level | Data on hazards (e.g., pollution sources), exposure (e.g., spatial distribution of activities), vulnerability (e.g., ecological sensitivity, socio-economic factors), and potential impacts. |
Output variable | Risk estimates, probability distributions, sensitivity indices, and visualizations of potential impacts and their uncertainties. These outputs guide the development of risk management strategies. |
References | [66,88] |
Economic DST | Adaptive Management (AM) |
---|---|
Uses of DST | AM helps reduce risks by allowing for adjustments and course corrections in response to unforeseen or unexpected outcomes. |
Country/MSP | The Great Barrier Reef Marine Park (Australia), the Florida Keys National Marine Sanctuary (USA), and the Netherlands Integrated Management Plan for the North Sea. |
Limitation | Adaptive management requires ongoing monitoring, data collection, analysis, and stakeholder engagement, which can be time-consuming and resource-intensive. |
Data-intensive level | Data or information gathered through stakeholder engagement processes, such as surveys, interviews, or participatory mapping. |
Output variable | Publication of new scientific knowledge, best practices, or guidelines that emerge from the adaptive management process. |
References | [9] |
Appendix B. MSP Case Studies
Appendix B.1. Case Study 1: Gaufre Project in Belgium
Appendix B.2. Case Study 2: MSP—Operation Phakisa, South Africa
Appendix B.3. Case Study 3: MSP in Australia
References
- Sumaila, U.R.; Lam, V.W.; Miller, D.D.; Teh, L.; Watson, R.A.; Zeller, D.; Cheung, W.W.L.; Côté, I.M.; Rogers, A.D.; Roberts, C.; et al. Winners and losers in a world where the high seas is closed to fishing. Sci. Rep. 2015, 5, 8481. [Google Scholar] [CrossRef]
- Waldron, A.; Adams, V.; Allan, J.; Arnell, A.; Asner, G.; Atkinson, S.; Baccini, A.; Baillie, J.; Balmford, A.; Beau, J.A.; et al. Protecting 30% of the Planet for Nature: Costs, Benefits and Economic Implications. Campaign for Nature. 2020. Available online: https://helda.helsinki.fi/bitstream/handle/10138/326470/Waldron_Report_FINAL_sml.pdf?sequence=1 (accessed on 1 April 2023).
- The World Bank. Applying Economic Analysis to Marine Spatial Planning. 2022. Available online: https://documents1.worldbank.org/curated/en/099515006062210102/pdf/P1750970bba3a60940831205d770baece51.pdf (accessed on 22 March 2023).
- Day, J. The great barrier reef marine park: The grandfather of modern MPAs. In Big, Bold and Blue: Lessons from Australia’s Marine Protected Areas; CSIRO Publishing: Clayton, Australia, 2016; pp. 65–97. [Google Scholar]
- Craig, R.K. Fostering adaptive marine aquaculture through procedural innovation in marine spatial planning. Mar. Policy 2019, 110, 103555. [Google Scholar] [CrossRef]
- Berkelmans, R.; Oliver, J.K. Large-scale bleaching of corals on the Great Barrier Reef. Coral Reefs 1999, 18, 55–60. [Google Scholar] [CrossRef]
- Done, T.; Whetton, P.; Jones, R.; Berkelmans, R.; Lough, J.; Skirving, W.; Wooldridge, S. Global climate change and coral bleaching on the Great Barrier Reef. In Final Report to the State of Queensland Greenhouse Taskforce through the Department of Natural Resources and Mines; Queensland Department of Natural Resources and Mines: Park Avenue, Australia, 2003; p. 49. [Google Scholar]
- Ehler, C. Two decades of progress in marine spatial planning. Mar. Policy 2021, 132, 104134. [Google Scholar] [CrossRef]
- Ehler, C.; Douvere, F. Marine spatial planning: A step–by–step approach toward ecosystem–based management. In Intergovernmental Oceanographic Commission and Man and the Biosphere Programme; IOC Manual and Guides No. 53, ICAM Dossier No. 6.; UNESCO: Paris, France, 2009. [Google Scholar]
- Borges, R.; Eyzaguirre, I.; Barboza, R.S.L.; Glaser, M. Systematic review of spatial planning and marine protected areas: A Brazilian perspective. Front. Mar. Sci. 2020, 7, 499. [Google Scholar] [CrossRef]
- EU MSP Platform. 2018. Available online: https://maritime-spatial-planning.ec.europa.eu/practices/gis-tools-msp-and-management (accessed on 23 March 2023).
- Chalastani, V.I.; Tsoukala, V.K.; Coccossis, H.; Duarte, C.M. A bibliometric assessment of progress in marine spatial planning. Mar. Policy 2021, 127, 104329. [Google Scholar]
- Douvere, F. The importance of marine spatial planning in advancing ecosystem–based sea use management. Mar. Policy 2009, 32, 762–771. [Google Scholar] [CrossRef]
- Crowder, L.; Norse, E. Essential ecological insights for marine ecosystem–based management and marine spatial planning. Mar. Policy 2008, 32, 772–778. [Google Scholar] [CrossRef]
- Gilliland, P.M.; Laffoley, D. Key elements and steps in the process of developing ecosystem–based marine spatial planning. Mar. Policy 2008, 32, 787–796. [Google Scholar]
- White, C.; Halpern, B.S.; Kappel, C.V. Ecosystem service tradeoff analysis reveals the value of marine spatial planning for multiple oceans uses. Proc. Natl. Acad. Sci. USA 2012, 109, 4696–4701. [Google Scholar] [CrossRef]
- Lester, S.E.; Costello, C.; Halpern, B.S.; Gaines, S.D.; White, C.; Barth, J.A. Evaluating trade–offs among ecosystem services to inform marine spatial planning. Mar. Policy 2013, 38, 80–89. [Google Scholar] [CrossRef]
- Arkema, K.K.; Verutes, G.M.; Wood, S.A.; Clarke-Samuels, C.; Rosado, S.; Canto, M.; Rosenthal, A.; Ruckelshaus, M.; Guannel, G.; Toft, J.; et al. Embedding ecosystem services in coastal planning leads to better outcomes for people and nature. Proc. Natl. Acad. Sci. USA 2015, 112, 7390–7395. [Google Scholar] [CrossRef]
- Longato, D.; Cortinovis, C.; Albert, C.; Geneletti, D. Practical applications of ecosystem services in spatial planning: Lessons learned from a systematic literature review. Environ. Sci. Policy 2021, 119, 72–84. [Google Scholar] [CrossRef]
- Surís–Regueiro, J.C.; Santiago, J.L.; González–Martínez, X.M.; Garza–Gil, M.D. Estimating economic impacts linked to Marine Spatial Planning with input–output techniques. Application to three case studies. Mar. Policy 2021, 129, 104541. [Google Scholar] [CrossRef]
- Surís–Regueiro, J.C.; Santiago, J.L.; González–Martínez, X.M.; Garza–Gil, M.D. An applied framework to estimate the direct economic impact of marine spatial planning. Mar. Policy 2021, 127, 104443. [Google Scholar] [CrossRef]
- Fernandes, M.L.; Larruga, J.S.; Alves, F.L. Spatial characterization of marine socio–ecological systems: A Portuguese case study. J. Clean. Prod. 2022, 363, 132381. [Google Scholar] [CrossRef]
- Douvere, F.; Ehler, C. New perspectives on sea use management: Initial findings from European experience with marine spatial planning. J. Environ. Manag. 2009, 90, 77–88. [Google Scholar] [CrossRef] [PubMed]
- Schaefer, N.; Barale, V. Maritime Spatial Planning: Opportunities and challenges in the framework of the EU Integrated Maritime Policy. Coast. Conserv. 2011, 15, 237–245. [Google Scholar] [CrossRef]
- Buhl–Mortensen, L.; Galparsoro, I.; Fernandez, T.V.; Johnson, K.; D’Anna, G.; Badalamenti, F.; Garofalo, G.; Carlstrm, J.; Piwowarczyk, J.; Rabaut, M. Maritime ecosystem–based management in practice: Lessons learned from the application of a generic spatial planning framework in Europe. Mar. Policy 2017, 75, 174–186. [Google Scholar] [CrossRef]
- Friess, B.; Gremaud-Colombier, M. Policy outlook: Recent evolutions of maritime spatial planning in the European Union. Mar. Policy 2021, 132, 103428. [Google Scholar] [CrossRef]
- Gee, K.; Kannen, A.; Adlam, R.; Brooks, C.; Chapman, M.; Cormier, R.; Fischer, C.; Fletcher, S.; Gubbins, M.; Shucksmith, R. Identifying culturally significant areas for marine spatial planning. Ocean. Coast. Manag. 2017, 136, 139–147. [Google Scholar] [CrossRef]
- Nursey-Bray, M.; Gillanders, B.M.; Maher, J. Developing indicators for adaptive capacity for multiple use coastal regions: Insights from the Spencer Gulf, South Australia. Ocean. Coast. Manag. 2021, 211, 105727. [Google Scholar] [CrossRef]
- Flannery, W.; Ellis, G.; Ellis, G.; Flannery, W.; Nursey-Bray, M.; van Tatenhove, J.P.M.; Kelly, C.; Coffen-Smout, S.; Fairgrieve, R.; Knol, M.; et al. Exploring the winners and losers of marine environmental governance/Marine spatial planning: Cui bono?/“More than fishy business”: Epistemology, integration and conflict in marine spatial planning/Marine spatial planning: Power and scaping/Surely not all. Plan. Theory Pract. 2016, 17, 121–151. [Google Scholar] [CrossRef]
- Frederiksen, P.; Morf, A.; von Thenen, M.; Armoskaite, A.; Luhtala, H.; Schiele, K.S.; Strake, S.; Hansen, H.S. Proposing an ecosystem service–based framework to assess sustainability impacts of maritime spatial plans (MSP–SA). Ocean. Coast. Manag. 2021, 208, 105577. [Google Scholar] [CrossRef]
- Gilek, M.; Armoskaite, A.; Gee, K.; Saunders, F.; Zaucha, J. In search of social sustainability in marine spatial planning: A review of scientific literature published 2005–2020. Ocean. Coast. Manag. 2021, 208, 105618. [Google Scholar] [CrossRef]
- Saunders, F.; Gilek, M.; Ikauniece, A.; Tafon, R.V.; Zaucha, J. Theorizing social sustainability and justice in marine spatial planning: Democracy, diversity, and equity. Sustainability 2020, 12, 2560. [Google Scholar] [CrossRef]
- Bennett, N.J.; Calò, A.; Franco, A.D.; Niccolini, F.; Guidetti, P. Social equity and marine protected areas: Perceptions of small–scale fishermen in the Mediterranean Sea. Biol. Conserv. 2020, 244, 108531. [Google Scholar] [CrossRef]
- Bennett, N.J.; Katz, L.; Yadao-Evans, W.; Ahmadia, G.N. A Wilhelm. Advancing social equity in and through marine conservation. Front. Mar. Sci. 2021, 8, 711538. [Google Scholar] [CrossRef]
- Issifu, I.; Dahmouni, I.; Deffor, E.W.; Sumaila, U.R. Diversity, equity and inclusion in the blue economy: Why they matter and how do we achieve them? Front. Political Sci. 2023, 4, 1067481. [Google Scholar] [CrossRef]
- Maini, B.; Blythe, J.L.; Darling, E.S.; Gurney, G.G. Charting the value and limits of other effective conservation measures (OECMs) for marine conservation: A Delphi study. Mar. Policy 2023, 147, 105350. [Google Scholar] [CrossRef]
- Grimmel, H.; Calado, H.; Fonseca, C.; Suárez de Vivero, J.L. Integration of the social dimension into marine spatial planning—Theoretical aspects and recommendations. Ocean. Coast. Manag. 2019, 173, 139–147. [Google Scholar] [CrossRef]
- Baker, S.; Constant, N.L. Epistemic justice and the integration of local ecological knowledge for marine conservation: Lessons from the Seychelles. Mar. Policy 2020, 117, 103921. [Google Scholar] [CrossRef]
- Pomeroy, R.; Douvere, F. The engagement of stakeholders in the marine spatial planning process. Mar. Policy 2008, 32, 816–822. [Google Scholar] [CrossRef]
- Ramírez-Monsalve, P.; van Tatenhove, J. Mechanisms of power in maritime spatial planning processes in Denmark. Ocean. Coast. Manag. 2020, 198, 105367. [Google Scholar] [CrossRef]
- Flannery, W.; Healy, N.; Luna, M. Exclusion and non–participation in marine spatial planning. Mar. Policy 2018, 88, 32–40. [Google Scholar] [CrossRef]
- Kirkfeldt, T.S.; Van Tatenhove, J.P.; Nielsen, H.N.; Larsen, S.V. An ocean of ambiguity in Northern European marine spatial planning policy designs. Mar. Policy 2020, 119, 104063. [Google Scholar] [CrossRef]
- Elrick-Barr, C.E.; Zimmerhackel, J.S.; Hill, G.; Clifton, J.; Ackermann, F.; Burton, M.; Harvey, E.S. Man-made structures in the marine environment: A review of stakeholders’ social and economic values and perceptions. Environ. Sci. Policy 2022, 129, 12–18. [Google Scholar] [CrossRef]
- Albotoush, R.; Shau-Hwai, A.T. Overcoming worldwide marine spatial planning (MSP) challenges through standardizing management authority. Ocean. Coast. Manag. 2023, 235, 106481. [Google Scholar] [CrossRef]
- Kull, M.; Moodie, J.R.; Thomas, H.L.; Mendez-Roldan, S.; Giacometti, A.; Morf, A.; Isaksson, I. International good practices for facilitating transboundary collaboration in Marine Spatial Planning. Mar. Policy 2021, 132, 103492. [Google Scholar] [CrossRef]
- Ansong, J.O.; McElduff, L.; Ritchie, H. Institutional integration in transboundary marine spatial planning: A theory–based evaluative framework for practice. Ocean. Coast. Manag. 2021, 202, 105430. [Google Scholar] [CrossRef]
- Gómez-Ballesteros, M.; Cervera-Núñez, C.; Campillos-Llanos, M.; Quintela, A.; Sousa, L.; Marques, M.; Alves, F.L.; Murciano, C.; Alloncle, N.; Sala, P.; et al. Transboundary cooperation and mechanisms for Maritime Spatial Planning implementation. SIMNORAT project. Mar. Policy 2021, 127, 104434. [Google Scholar] [CrossRef]
- Pinarbasi, K.; Galparsoro, I.; Alloncle, N.; Quemmerais, F.; Borja, Á. Key issues for a transboundary and ecosystem–based maritime spatial planning in the Bay of Biscay. Mar. Policy 2020, 120, 104131. [Google Scholar] [CrossRef]
- Hassler, B.; Gee, K.; Gilek, M.; Luttmann, A.; Morf, A.; Saunders, F.; Stalmokaite, I.; Strand, H.; Zaucha, J. Collective action and agency in Baltic Sea marine spatial planning: Transnational policy coordination in the promotion of regional coherence. Mar. Policy 2018, 92, 138–147. [Google Scholar] [CrossRef]
- Hammar, L.; Gullström, M.; Dahlgren, T.G.; Asplund, M.E.; Goncalves, I.B.; Molander, S. Introducing ocean energy industries to a busy marine environment. Renew. Sustain. Energy Rev. 2017, 74, 178–185. [Google Scholar] [CrossRef]
- Spijkerboer, R.C.; Zuidema, C.; Busscher, T.; Arts, J. Institutional harmonization for spatial integration of renewable energy: Developing an analytical approach. J. Clean. Prod. 2019, 209, 1593–1603. [Google Scholar] [CrossRef]
- Theodora, Y.; Piperis, S. Marine renewable energy perspectives in the Mediterranean region planning priorities in a climate neutrality era. Ocean. Coast. Manag. 2022, 229, 106307. [Google Scholar] [CrossRef]
- García, P.Q.; Sanabria, J.C.; Ruiz, J.A.C. Marine renewable energy and maritime spatial planning in Spain: Main challenges and recommendations. Mar. Policy 2021, 127, 104444. [Google Scholar] [CrossRef]
- Pınarbaşı, K.; Galparsoro, I.; Borja, Á.; Stelzenmüller, V.; Ehler, C.N.; Gimpel, A. Decision support tools in marine spatial planning: Present applications, gaps and future perspectives. Mar. Policy 2017, 83, 83–91. [Google Scholar] [CrossRef]
- Schwartz-Belkin, I.; Portman, M.E. A review of geospatial technologies for improving Marine Spatial Planning: Challenges and opportunities. Ocean. Coast. Manag. 2023, 231, 106280. [Google Scholar] [CrossRef]
- Depellegrin, D.; Hansen, H.S.; Schrøder, L.; Bergström, L.; Romagnoni, G.; Steenbeek, J.; Gonçalves, M.; Carneiro, G.; Hammar, L.; Pålsson, J.; et al. Current status, advancements and development needs of geospatial decision support tools for marine spatial planning in European seas. Ocean. Coast. Manag. 2021, 209, 105644. [Google Scholar] [CrossRef]
- Lonsdale, J.-A.; Nicholson, R.; Judd, A.; Elliott, M.; Clarke, C. A novel approach for cumulative impacts assessment for marine spatial planning. Environ. Sci. Policy 2020, 106, 125–135. [Google Scholar] [CrossRef]
- Stelzenmüller, V.; Coll, M.; Cormier, R.; Mazaris, A.D.; Pascual, M.; Loiseau, C.; Claudet, J.; Katsanevakis, S.; Gissi, E.; Evagelopoulos, A.; et al. Operationalizing risk-based cumulative effect assessments in the marine environment. Sci. Total Environ. 2020, 724, 138118. [Google Scholar] [CrossRef] [PubMed]
- Gacutan, J.; Pınarbaşı, K.; Agbaglah, M.; Bradley, C.; Galparsoro, I.; Murillas, A.; Adewumi, I.; Praphotjanaporn, T.; Bordt, M.; Findlay, K.; et al. The emerging intersection between marine spatial planning and ocean accounting: A global review and case studies. Mar. Policy 2022, 140, 105055. [Google Scholar] [CrossRef]
- Pınarbaşı, K.; Galparsoro, I.; Borja, A. End users’ perspective on decision support tools in marine spatial planning. Mar. Policy 2019, 108, 103658. [Google Scholar] [CrossRef]
- Tolvanen, H.; Erkkilä-Välimäki, A.; Nylén, T. From silent knowledge to spatial information—Mapping blue growth scenarios for maritime spatial planning. Mar. Policy 2019, 107, 103598. [Google Scholar] [CrossRef]
- Sumaila, U.R. Infinity Fish: Economics and the Future of Fish and Fisheries; Academic Press: Cambridge, MA, USA, 2021. [Google Scholar]
- European Commission. Study on the Economic Impact of Maritime Spatial Planning; Executive Agency for Small and Medium–sized Enterprises (EASME); Publications Office of the European Union: Luxembourg, 2020; Available online: https://op.europa.eu/en/publication-detail/-/publication/254a6ac4-b689-11ea-bb7a-01aa75ed71a1/language-en (accessed on 28 January 2024).
- Rosenthal, A.; Verutes, G.; Arkema, K.; Clarke, C.; Canto, M.; Rosado, S.; Wood, S. InVEST Scenarios Case Study: Coastal Belize. Natural Capital Project. 2015. Available online: https://naturalcapitalproject.stanford.edu/publications/white-paperreport/invest-scenarios-case-study-coastal-belize (accessed on 1 April 2023).
- Taylor, M.; Baker, J.; Waters, E.; Wegge, T.; Wellman, K. Economic Analysis to Support Marine Spatial Planning in Washington; Washington Coastal Marine Advisory Council: Washington, DC, USA, 2015. [Google Scholar]
- Frazao Santo, C.F.; Michel, J.; Neves, M.; Janeiro, J. Marine spatial planning and oil spill risk analysis: Finding common grounds. Mar. Pollut. Bull. 2013, 1, 73–81. [Google Scholar] [CrossRef] [PubMed]
- Frazão-Santos, C.; Ehler, C.N.; Agardy, T.; Andrade, F.; Orbach, M.K.; Crowder, L.B. Marine spatial planning. In World Seas: An Environmental Evaluation; Academic Press: Cambridge, MA, USA, 2019. [Google Scholar]
- Alpizar, F.; Madrigal, R.; Alvarado, I.; Vega, E.B.; Camhi, A.; Maldonado, J.; Marco, J.; Martínez-Salinas, A.; Pacay, E.; Watson, G. Mainstreaming of Natural Capital and Biodiversity into Planning and Decision–Making: Cases from Latin America and the Caribbean; Series. IDB–MG–823; Inter–American Development Bank: Washington, DC, USA, 2020. [Google Scholar]
- Dahmouni, I.; Sumaila, R.U. A dynamic game model for no-take marine reserves. Ecol. Model. 2023, 481, 110360. [Google Scholar] [CrossRef]
- Issifu, I.; Deffor, E.W.; Deyshappriya NP, R.; Dahmouni, I.; Sumaila, U.R. Drivers of seafood consumption at different geographical scales. J. Sustain. Res. 2022, 4, e220012. [Google Scholar]
- Sumaila, U.R.; Walsh, M.; Hoareau, K. Financing a sustainable ocean economy. Nat. Commun. 2022, 12, 3259. [Google Scholar] [CrossRef]
- Hassan, D.; Alam, A. Marine spatial planning and the Great Barrier Reef Marine Park Act 1975: An Evaluation. Ocean. Coast. Manag. 2019, 167, 188–196. [Google Scholar] [CrossRef]
- Beck, M.W.; Ferdaña, Z.; Kachmar, J.; Morrison, K.K.; Taylor, P. Best Practices for Marine Spatial Planning; The Nature Conservancy: Arlington, VA, USA, 2009; Available online: https://marineplanning.org/wp-content/uploads/2015/07/msp_best_practices.pdf (accessed on 28 January 2024).
- World Bank. Marine Spatial Planning for a Resilient and Inclusive Blue Economy: Key Considerations to Formulate and Implement Marine Spatial Planning (English); World Bank Group: Washington, DC, USA, 2022; Available online: http://documents.worldbank.org/curated/en/099813206062230702/IDU0afe34d600494f04ee009e8c0edf0292c1a96 (accessed on 15 August 2023).
- Collie, J.S.; Adamowicz, W.L.; Beck, M.W.; Craig, B.; Essington, T.E.; Fluharty, D.; Rice, J.; Sanchirico, J.N. Marine spatial planning in practice. Estuar. Coast. Shelf Sci. 2013, 117, 1–11. [Google Scholar] [CrossRef]
- Sun, X.; Zhang, L.; Lu, S.-Y.; Tan, X.-Y.; Chen, K.-L.; Zhao, S.-Q.; Huang, R.-H. A new model for evaluating sustainable utilization of coastline integrating economic output and ecological impact: A case study of coastal areas in Beibu Gulf, China. J. Clean. Prod. 2020, 271, 122423. [Google Scholar] [CrossRef]
- Halpern, B.; Lester, S.; Kellner, J. Spillover from marine reserves and the replenishment of fished stocks. Environ. Conserv. 2010, 36, 268–276. [Google Scholar] [CrossRef]
- World Bank. Climate-Informed Marine Spatial Planning. 2021. Available online: https://thedocs.worldbank.org/en/doc/d58e097fa6a589fbca42678ff4e05cd1-0320012021/original/World-Bank-PROBLUE-2021-Climate-Informed-MSP-Factsheet-Nov-4-2021.pdf (accessed on 28 January 2024).
- Huang, W.; Corbett, J.J.; Jin, D. Regional economic and environmental analysis as a decision support for marine spatial planning in Xiamen. Mar. Policy 2015, 51, 555–562. [Google Scholar] [CrossRef]
- OECD. Marine Protected Areas: Economics, Management and Effective Policy Mixes; OECD Publishing: Paris, France, 2017. [Google Scholar]
- Ball, I.R.; Possingham, H.P.; Watts, M.E. Marxan and Relatives: Software for Spatial Conservation Prioritization. Spatial Conservation Prioritisation: Quantitative Methods and Computational Tools. 2011. Available online: https://courses.washington.edu/cfr590/projectreadings/Ball%20et%20al.2009--Marxan-ch14.pdf (accessed on 28 January 2024).
- Agardy, T. Marine protected areas and marine spatial planning. In Routledge Handbook of Ocean Resources and Management (Chapter 31); Smith, H.D., de Vivero, J.L.S., Agardy, T., Eds.; Routledge: Abingdon, UK; New York, NY, USA, 2015. [Google Scholar]
- Hamukuaya, H.; Attwood, C.; Willemse, N. Transition to ecosystem-based governance of the Benguela Current Large Marine Ecosystem. Environ. Dev. 2016, 17, 310–332. [Google Scholar] [CrossRef]
- Tuda, A.O.; Stevens, T.F.; Rodwell, L.D. Resolving coastal conflicts using marine spatial planning. J. Environ. Manag. 2013, 133, 59–68. [Google Scholar] [CrossRef]
- Zuercher, R.; Ban, N.C.; Flannery, W.; Guerry, A.D.; Halpern, B.S.; Magris, R.A.; Mahajan, S.L.; Motzer, N.; Spalding, A.K.; Stelzenmüller, V.; et al. Enabling conditions for effective marine spatial planning. Mar. Policy 2022, 143, 105141. [Google Scholar] [CrossRef]
- Maes, F.; De Batist, M.; Van Lancker, V.; Leroy, D.; Vincx, M. Towards a Spatial Structure Plan for Sustainable Management of the Sea, SPSD–II/Mixed Research Actions; Belgian Science Policy Office: Brussels, Belgium, 2005; pp. 39–298. [Google Scholar]
- Ehler, C.; Douvere, F. Visions for a Sea Change: Report of the First International Workshop on Marine Spatial Planning, Intergovernmental Oceanographic Commission and the Man and the Biosphere Programme UNESCO Headquarters. Paris. 2007. Available online: https://repository.oceanbestpractices.org/handle/11329/204 (accessed on 28 January 2024).
- Stelzenmuller, V.; Cormier, R.; Gee, K.; Shucksmith, R.; Gubbins, M.; Yates, K.L.; Morf, A.; Aonghusa, C.N.; Mikkelsen, E.; Tweddle, J.F.; et al. Evaluation of marine spatial planning requires fit for purpose monitoring strategies. J. Environ. Manag. 2015, 278, 111545. [Google Scholar] [CrossRef]
- GHK Consulting. Potential Benefits of Marine Spatial Planning to Economic Activity in the UK. 2004. Available online: https://www.rspb.org.uk/globalassets/downloads/documents/positions/marine/potential-benefits-of-marine-spatial-planning-to-economic-activity-in-the-uk.pdf (accessed on 4 April 2023).
- Pecceu, E.; Hostens, K.; Mae, F. Governance analysis of MPAs in the Belgian part of the North Sea. Mar. Policy 2016, 71, 265–274. [Google Scholar] [CrossRef]
- Jones, P.J.S.; Lieberknecht, L.M.; Qiu, W. Marine spatial planning in reality: Introduction to case studies and discussion of findings. Mar. Policy 2016, 71, 256–264. [Google Scholar] [CrossRef]
- Dehens, L.A.; Fanning, L.M. What counts in making marine protected areas (MPAs) count? The role of legitimacy in MPA success in Canada. Ecol. Indic. 2018, 86, 45–57. [Google Scholar] [CrossRef]
- Coudenys, H.; Barbery, S.; Depestel, N.; Traen, S.; Vandermeulen, A.; Pirlet, H. Social and economic environment. In Compendium for Coast and Sea 2015: An Integrated Knowledge Document about the Socioeconomic, Environmental and Institutional Aspects of the Coast and Sea in Flanders and Belgium; Pirlet, H., Verleye, T., Lescrauwaet, A.K., Mees, J., Eds.; Flanders Marine Institute: Ostend, Belgium, 2013; pp. 187–200. Available online: https://studylib.net/doc/11116260/10-social-and-economic-environment (accessed on 28 January 2024).
- Sowman, M.; Mbatha, P.; von Holdt, J. Strategies for addressing conflicts arising from blue growth initiatives: Insights from three case studies in South Africa. Marit. Stud. 2023, 22, 51. [Google Scholar] [CrossRef]
- Lagabrielle, E.; Lombard, A.T.; Harris, J.M.; Livingstone, T.C. Multi–scale multi–level marine spatial planning: A novel methodological approach applied in South Africa. PLoS ONE 2018, 13, e0192582. [Google Scholar] [CrossRef] [PubMed]
- Parliament of the republic of South Africa. Operation Phakisa Initiatives that Are Central to the Mandate of the Department of Forestry, Fisheries and the Environment. Research Brief. 2021. Available online: https://static.pmg.org.za/211207_Operation_Phakisa_Initiatives_under_DFFE.pdf (accessed on 17 September 2023).
Activities development in the marine space Gross value added (GVA) by sector of maritime activity Contribution of the sea economy to the GDP GDP/capita of coastal residents Employment rate of coastal population Employment in maritime sectors Poverty, family well-being, gender, health, and education levels Conflicts in the use of maritime space by type and frequency Distribution of the income in the economies onshore Numbers of users of the space (e.g., tourism and recreational activities) Community and citizen participation
Seascape and landscape Establishment and protection of culturally significant areas for the immaterial cultural values (e.g., definition of cultural values, identification of places of cultural significance, establishment of the relative importance of places of cultural significance)
Acknowledgment of and respect for the distinct rights and diversity of needs, worldviews, and lifestyles Access to the resources and benefits distribution (distribution of benefits, risk and harm of decisions, as well as access to resources, with a particular emphasis on vulnerable groups) Equity and fairness of the systems (e.g., equality and inequality changes across communities and groups) Livelihood sufficient, living standards (e.g., education and employment opportunities) Safety and security (e.g., protection against climate change events) Democratic governance and meaningful inclusion of sociocultural values (e.g., participation in decision-making, consideration of individual and group values) |
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Issifu, I.; Dahmouni, I.; García-Lorenzo, I.; Sumaila, U.R. Economics in Marine Spatial Planning: A Review of Issues in British Columbia and Similar Jurisdictions. Sustainability 2024, 16, 1210. https://doi.org/10.3390/su16031210
Issifu I, Dahmouni I, García-Lorenzo I, Sumaila UR. Economics in Marine Spatial Planning: A Review of Issues in British Columbia and Similar Jurisdictions. Sustainability. 2024; 16(3):1210. https://doi.org/10.3390/su16031210
Chicago/Turabian StyleIssifu, Ibrahim, Ilyass Dahmouni, Iria García-Lorenzo, and U. Rashid Sumaila. 2024. "Economics in Marine Spatial Planning: A Review of Issues in British Columbia and Similar Jurisdictions" Sustainability 16, no. 3: 1210. https://doi.org/10.3390/su16031210
APA StyleIssifu, I., Dahmouni, I., García-Lorenzo, I., & Sumaila, U. R. (2024). Economics in Marine Spatial Planning: A Review of Issues in British Columbia and Similar Jurisdictions. Sustainability, 16(3), 1210. https://doi.org/10.3390/su16031210