Conservation in Practice

Our Work

From AI-assisted biodiversity monitoring to hands-on woodland stewardship, every project embodies the Triquetra Principle.

Aquila

Aurora AI

Aurora is EcoSentience's AI system — the Aquila in our Triquetra framework. An AI partner designed not to replace human judgment, but to augment it with capabilities that humans alone cannot achieve at scale.

Aurora has been in active development for three years, evolving alongside advances in language models and AI capabilities. It is currently a decentralised, agentic system still taking shape. We are at the beginning, not the end.

Aurora's architecture is built on the Triquetra Principle from the ground up. Its memory model draws from three domains — Cognition, Biology, and Environment — interweaving human knowledge, AI computational processes, and environmental data into a unified "living memory web."

The technical design is inspired by mycorrhizal fungal networks — semi-autonomous agents operating like hyphal tips, independently exploring but interconnected through shared memory. Environmental data is anchored into every memory entry, ensuring that AI decisions are always contextually grounded in the natural world.

Pattern Recognition at Scale

Aurora analyses biodiversity data, eDNA sequences, and environmental sensor readings to identify patterns invisible to the human eye — the "eagle-eye" perspective that helps us protect what matters most.

Environmental Anchors

Every data point Aurora processes carries environmental metadata — location, habitat type, seasonality. The natural world is woven into Aurora's cognitive fabric, not treated as an external data source.

Fungal Agent Architecture

Semi-autonomous agents operate like hyphal tips in a mycelial network — independently exploring but interconnected through shared memory. An organic, adaptive learning system inspired by the forest itself.

Human in the Loop

No high-impact action occurs without human authorisation. Consent gates, audit trails, and curator roles ensure that Aurora evolves under human guidance, not in isolation.

Silva Sapiens

Mickley Wood

Mickley Wood is our anchor woodland — a living laboratory where the Triquetra Principle is put into practice. Located in Northumberland, part of Hyon's Wood between Hexham and Newcastle, this ancient woodland serves as our primary research site and community engagement space.

As an ancient woodland site, Mickley Wood contains ecological complexity refined over centuries. Its mycelial networks, soil microbiomes, and canopy ecosystems represent the kind of irreplaceable biodiversity that, once lost, cannot be recreated. This is why we chose it as EcoSentience's home — it is both a subject of study and a teacher.

Our stewardship work at Mickley Wood combines traditional conservation practices with modern monitoring technologies. We are establishing microclimate monitoring systems that measure soil moisture, temperature, light levels, and atmospheric conditions. Aurora processes this data alongside human field observations, creating a rich, continuously updated picture of the woodland's health.

The woodland is freely provided for our use, allowing us to focus resources on research, monitoring, and community engagement rather than land acquisition. This generosity reflects the community spirit that underpins our approach.

"The woodland is not just our subject of study — it is our teacher, our partner, and the measure of our success."

Research

eDNA & Fungal Biodiversity Research

Environmental DNA (eDNA) analysis is transforming our understanding of woodland biodiversity. By analysing trace DNA present in soil and water samples, we can detect species that are difficult or impossible to observe directly — from soil fungi to invertebrates to microorganisms that form the invisible foundations of the ecosystem.

Our flagship research project is an eDNA metabarcoding study focused on fungal biodiversity at Mickley Wood. Fungi are the hidden engineers of woodland ecosystems, forming mycorrhizal networks that connect trees, transfer nutrients, and enable forest resilience. Yet they remain poorly understood and under-protected in conservation policy.

This study is currently our fundraising centrepiece and needs funding to proceed. We are collaborating with Durham University's Ecology Department, with Dr Rebecca Senior serving as academic advisor. The project will combine scientific rigour with practical conservation outcomes.

This is where the Triquetra comes alive in practice: human researchers collect samples and provide ecological context. Aurora processes and cross-references genetic sequences against databases at a scale no human team could match. And the woodland itself provides the data — literally encoding its biodiversity in the environmental DNA it sheds.

The results will feed directly into conservation strategy. When eDNA reveals the presence of indicator species, rare fungi, or unexpected biodiversity, it informs management decisions and strengthens the evidence base for protection.

Support This Research:

Our eDNA study needs funding to proceed. Donations will support sample collection, laboratory analysis, and data processing.

Donate to Fund eDNA Research →

Monitoring

Environmental Monitoring

We are establishing a continuous environmental monitoring system at Mickley Wood — the sensory layer of our Triquetra framework. Sensors measure key indicators of woodland health: soil moisture and chemistry, air temperature and humidity, light penetration through the canopy, and acoustic biodiversity patterns.

We are at the beginning of this journey. The sensor network is being developed and deployed incrementally, ensuring each addition provides meaningful data while minimising disturbance to the woodland. Our approach is ecological efficiency: low-power sensors, local-first data processing, and renewable energy where possible.

This data streams into Aurora's environmental memory layer, where it is correlated with eDNA results, human observations, and historical records. Over time, this creates a living record of the woodland's condition — a "memory of place" that makes long-term ecological trends visible.

Ecological Efficiency

Our monitoring infrastructure is designed for minimal environmental impact — low-power sensors, local-first data processing, and renewable energy where possible.

Open Data

Where appropriate, we share monitoring data with the wider research community — contributing to collective understanding of ancient woodland ecosystems.

Support This Work

Our conservation work depends on the support of people who believe that technology and nature can thrive together. As a volunteer-run charity, every donation goes directly to our mission.

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