The research arrives at a moment when maritime spatial planning, or MSP, has moved from an abstract academic concept to a binding legal obligation in many coastal states. The European Union’s MSP Directive, the marine spatial plans emerging across Asia, Africa and Latin America, and the target under the United Nations Convention on Biological Diversity to protect thirty percent of the ocean by 2030 all demand planning processes that can weigh industrial development against ecological integrity. Yet in practice, planners frequently lack a structured way to answer a deceptively simple question: which sectors depend on which ecosystem services, and what happens to human well-being when those services are degraded or displaced?

The framework addresses this gap by treating blue economy sectors not as isolated actors but as components of a coupled social-ecological system. Each sector, whether it is offshore renewable energy, commercial fishing, maritime transport, aquaculture, tourism or emerging industries such as floating infrastructure and deep-sea resource extraction, is mapped against a portfolio of ecosystem services drawn from established classification systems. These include provisioning services such as food and raw materials, regulating services such as climate regulation and coastal protection, and cultural services such as recreation, heritage and identity. By making these dependencies and impacts explicit, the framework turns what has often been an implicit, intuition-driven judgment into a transparent and auditable analytical structure.

What distinguishes the approach from earlier attempts at integration is its insistence on the socio-economic dimension. Maritime spatial planning has historically been dominated by ecological and engineering considerations, with human dimensions added late in the process or treated as constraints on otherwise technical decisions. The new framework elevates socio-economic priorities to a co-equal pillar of the analysis. Employment, food security, income distribution, cultural values, gender equity and regional development objectives are positioned as the evaluative criteria against which the consequences of sector-service interactions are judged. This means that a planning decision is no longer assessed only by its effect on a habitat or a species population, but by its cascading consequences for the livelihoods and priorities that those ecological functions underpin.

Technically, the framework operates as a structured chain of linkage analysis. In the first stage, sectors are characterized by their spatial footprint, resource demands and pressures on the marine environment, including physical disturbance, pollution, noise, greenhouse gas emissions and biological impacts. In the second stage, ecosystem services are identified and located, often using spatially explicit data layers that show where services are generated and who benefits from them. The third stage constructs the dependency and impact matrices, recording for each sector-service pair whether the sector relies on the service, degrades it, enhances it or competes with other sectors for it. The fourth stage connects these interactions to socio-economic priorities through indicators that can be monitored over time, allowing planners to track whether a given allocation of ocean space is delivering on declared policy goals.

This chain-of-linkages logic has significant practical advantages for planning authorities. It enables cumulative impact assessment to move beyond simply summing pressures and instead to trace how combined pressures alter service flows and, ultimately, human welfare. It supports scenario analysis, so that planners can compare, for example, an aggressive offshore wind build-out against a more diversified allocation that reserves space for small-scale fisheries and coastal protection habitats. It also creates a common language for stakeholders who often talk past one another. A fishing cooperative, an energy developer and a conservation agency can each locate their concerns within the same framework, which reduces the translation problems that have historically made marine planning negotiations slow and adversarial.

The framework is also designed with trade-off analysis at its core. The ocean cannot simultaneously maximize every use in every location, and the concept of the blue economy has been criticized, in some quarters, for promising growth without acknowledging the hard choices that growth implies. By forcing explicit recognition of which services are lost, degraded or gained under alternative planning scenarios, and by tying those changes to named socio-economic priorities, the framework makes trade-offs visible rather than hiding them in aggregated cost-benefit figures. This transparency matters for legitimacy. Coastal communities that see how their priorities were weighed, and where their interests were traded against others, are more likely to accept planning outcomes than communities confronted with decisions that appear to have emerged from a black box.

The study speaks directly to several urgent global policy conversations. The sustainable blue economy agenda promoted by international organizations envisions ocean industries as engines of development, but that vision is credible only if the ecological base of the economy is maintained. The framework provides a mechanism for operationalizing this conditionality: sectors can grow, but the analysis shows where growth erodes the service foundation on which other sectors and communities depend. Similarly, ecosystem-based management, long a guiding principle in marine policy, gains a concrete implementation pathway. Rather than remaining an aspiration, ecosystem-based management becomes a set of defined linkages, indicators and decision points that can be embedded in statutory planning processes.

The timing of the publication is notable. Global commitments to offshore renewable energy are accelerating, aquaculture is the fastest-growing food production sector in the world, and shipping volumes continue to rise even as nations pledge to decarbonize maritime transport. Meanwhile, the recently agreed international agreement on biodiversity beyond national jurisdiction, together with expanding networks of marine protected areas, is adding new layers of regulation to ocean space. Planning systems that were built for a quieter ocean now face simultaneous demands for industrial expansion, biodiversity protection and climate adaptation. The framework offers planners a way to integrate these demands systematically, rather than resolving conflicts case by case after they erupt.

For researchers, the framework opens a research agenda as much as it closes one. The authors’ structure invites empirical application in specific seascapes, where data on service distribution, sector pressures and socio-economic indicators can populate the linkage matrices and reveal whether the framework performs as intended under real institutional conditions. It also invites methodological development: the integration of ecosystem service models with ocean observation systems, the use of participatory mapping to capture local and Indigenous knowledge of service flows, and the coupling of the framework with optimization and simulation tools that can search for planning allocations satisfying multiple priorities at once. As more jurisdictions adopt legally binding marine plans, the demand for methods that can demonstrate the consequences of those plans for both ecosystems and people will only grow. This study provides a credible, general-purpose scaffold for meeting that demand, and its true test will be how quickly it moves from the journal page into the planning rooms where the ocean’s future is actually decided.

Subject of Research: A framework linking blue economy sectors to ecosystem services and socio-economic priorities for integrated maritime spatial planning

Article Title: Linking blue economy sectors to ecosystem services and socio-economic priorities: a framework for integrated maritime spatial planning

Article References: Pegorelli, C., Rayo-Luengo, S., Garcia-Onetti, J., de Andrés, M., Stojanovic, I., & Sanabria, J. G. (2026). Linking blue economy sectors to ecosystem services and socio-economic priorities: a framework for integrated maritime spatial planning. npj Ocean Sustainability. https://doi.org/10.1038/s44183-026-00238-6

Image Credits: AI Generated

DOI: 10.1038/s44183-026-00238-6

Keywords: blue economy, maritime spatial planning, ecosystem services, ocean governance, socio-economic priorities, marine policy, offshore renewable energy, aquaculture, ecosystem-based management, npj Ocean Sustainability, Linking, blue