Where creativity meets clarity, and vision meets action.
Driven by curiosity and built on purpose, this is where bold thinking meets thoughtful execution. Let’s create something meaningful together.
Our Approach
We're a team of passionate thinkers and doers, dedicated to building with purpose and clarity. Collaboration and curiosity drive everything we do. Our process is simple, thoughtful, and designed with your experience in mind. We believe great results come from clear steps, open collaboration, and a shared sense of purpose.
Our Approach
Dowr Fala is developing a regenerative aquaculture model grounded in practical delivery, environmental responsibility, and measurable outcomes.
Our approach combines established aquaculture methods with emerging regenerative principles, adapted to the specific conditions of the Fal Estuary.
SITE-LED DESIGN
We are designing the project around the realities of the site, rather than applying a fixed model.
The pilot is located within the Fal Estuary, using a previously disturbed aquaculture footprint near Trelissick. This allows us to minimise additional seabed impact while testing cultivation within a historically impacted system.
By working within an estuarine environment shaped by legacy pollution and ongoing inputs, the project aims to generate relevant, real-world insights rather than idealised results.
CULTIVATION MODEL
The pilot will use a small-scale longline cultivation system growing native seaweed species, with exploratory integration of shellfish.
This model is designed to be:
Low-impact
Modular and scalable
Compatible with existing marine infrastructure
Adaptable to site conditions
The focus at this stage is on testing operational viability alongside environmental outcomes.
PARTIAL HARVEST APPROACH
A key element of the project is a partial harvest model.
Rather than removing all biomass at the end of the growing cycle, a proportion of seaweed will be retained in the water to maintain habitat structure and ecological function.
This approach responds to emerging research suggesting that full harvest systems may deliver only short-term ecological benefits, while alternative methods may support more sustained biodiversity outcomes.
The pilot will test how this approach performs under real-world conditions.
MONITORING & EVIDENCE
The project is designed as a monitored pilot, with outcomes measured rather than assumed.
Key areas of assessment include:
Biomass production per metre of cultivation line
Species presence and biodiversity response
Water quality indicators
Potential contaminant uptake within seaweed tissue (where feasible)
Baseline data will be collected prior to installation, with monitoring carried out throughout the growing season.
All findings — including limitations or negative results — will be documented and shared.
ENVIRONMENTAL CONTEXT
The Fal Estuary provides a challenging but important test environment.
It is affected by a combination of legacy mining pollution, hydrocarbons and nutrient inputs, making it a strong case for exploring whether regenerative aquaculture can contribute to environmental improvement.
The project does not assume positive outcomes, but is designed to test whether measurable benefits can be delivered at small scale.
DELIVERY APPROACH
The pilot is structured to be delivered over a single growing season using a staged approach:
Site preparation and baseline assessment
Installation of cultivation infrastructure
Monitoring throughout the growth cycle
Harvest and evaluation
The system is intentionally small-scale and modular, allowing for adaptive management and minimising risk.
SCALABILITY
If successful, the model could be adapted to other estuarine and coastal systems facing similar environmental pressures.
The intention is to develop a practical, evidence-based framework for regenerative aquaculture that can inform future projects, investment decisions, and policy development.
Our approach is built on the principle that regenerative aquaculture must be demonstrated in practice — through careful design, transparent monitoring, and a willingness to test assumptions under real-world conditions.
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Meet the Team