Executive Summary
Axion Solutions was commissioned by Natural England to deliver a critical enabling contract within the SSSI Monitoring & Evaluation (SME) Programme: the SSSI Tenure Identification and Mapping for 2026 Surveys. This project forms the foundational step in a national effort to tackle the decline in SSSI monitoring frequency by securing access permissions for condition assessments across three priority sets of sites.
The commission addressed a systemic barrier to conservation: the lack of comprehensive, spatially referenced landholder data required to facilitate legal access to protected sites. Axion delivered a step-change intervention, combining:
- National-scale land referencing across 116 priority SSSIs covering over 99,000 hectares.
- ArcGIS-compatible tenure maps and shapefiles for precise site management.
- An integrated "Access Contacts for Surveyors" system linked to a master contacts database.
- Trend analysis of land ownership patterns to inform future engagement strategies.
- Procedural rigour through a 3-tier Quality Assurance framework ensuring GDPR compliance and data integrity.
The result is a coherent, high-accuracy tenure infrastructure that empowers Natural England to meet the Environmental Improvement Plan (EIP23) target of having an up-to-date condition assessment for every SSSI by January 2028.
Strategic and Policy Context
Natural England’s statutory function includes maintaining the condition of over 4,100 SSSIs in England. The Environmental Improvement Plan (EIP23) sets a clear ambition to restore 75% of protected sites to favourable condition, which requires robust evidence from up-to-date condition assessments,
To reverse the decline in monitoring frequency, Natural England requires formal access permissions from both owners and occupiers (jointly "landholders"). However, prior to this commission, identifying these stakeholders was hampered by:
- Data Fragmentation: Information was split between Corporate HMLR downloads (missing private individuals) and internal NE contact databases that were often not exhaustive or spatially referenced.
- Incomplete Data: Natural England's primary datasets often lacked information on private landowners or occupiers.
- Lack of Spatial Reference: Existing contact databases were not linked to specific land parcels, making it difficult for surveyors to navigate complex site boundaries.
- Outdated Information: Contact details were often not exhaustive or current.
- Urgency of Scale: The requirement to survey tens of thousands of hectares within the 2026/27 cycle necessitated a rapid, national-scale identification process
Natural England required a delivery partner capable of complex land referencing, GIS translation, and rigorous GDPR-compliant data management.
The Challenge: Identifying Contacts Across a Fragmented Landscape
The project addressed the challenge of translating fragmented ownership into a functional access system.
- Complexity of the Delivery Landscape: Landholding structures vary from large, consolidated estates to thousands of small private titles, particularly near water bodies
- Ownership Fragmentation: SSSI land varies from large, consolidated estates to thousands of small private titles, particularly along various river sites.
- The "Persons Drift" Phenomenon: A significant proportion of landholders listed in databases have correspondence addresses distant from the SSSI sites (e.g., urban owners in London for rural Norfolk sites), meaning registered addresses often reflect administrative contact points rather than on-site presence.
- Data Standards and GDPR: Managing sensitive tenure and personal information required a partner capable of strictly adhering to Natural England's GDPR policy while ensuring data remains usable for field surveyor
- Static vs. Living Systems: NE required outputs that could not only be used for the 2026 surveys but also update their existing SSSI contacts database for long-term use
The Project Process: A Structured Delivery Framework
Axion applied an integrated, five-stage workflow designed for efficiency and transparency.
1. Inception and Mobilisation: Reviewing data resources (HMLR titles, NE contact datasets) and finalising file-sharing protocols and risk registers.
2. Data Collation and Verification: Cross-referencing HMLR titles with NE's existing records and conducting secondary searches using TraceIQ, Companies House, and OS AddressBase to fill gaps in private ownership and occupier data.
3. Spatial Mapping and Data Integration: Using ArcGIS Pro to link verified records to SSSI parcel boundaries, creating parcel-level polygons with embedded metadata and unique IDs for cross-referencing.
4. Secondary Data Investigation: A critical refined step involving filling residual data gaps and conducting exhaustive QA of mapping accuracy.
5. Secure Closure: Encrypted submission of deliverables, including a Data Handling Summary and deletion certificate to ensure post-project GDPR compliance.
Quality Assurance and Procedural Rigour
Axion’s QA system, modelled on ISO 9001, ensured that 100% of records were verified against at least one independent data source. Each deliverable underwent a mandatory 3-tier review process:
• Level 1 – Data Integrity Check: GIS Analysts ensured the consistency and completeness of ownership and contact data.
• Level 2 – Spatial Validation: Led by Mr. David Harding, this tier confirmed that all polygons, parcel IDs, and attribute joins were accurate and GIS-compatible.
• Level 3 – Final Quality Audit: Dr. Mark Harding reviewed all deliverables for methodological consistency and GDPR compliance before final submission to Natural England.
This rigour was supported by a dynamic Risk Register, reviewed weekly to mitigate threats such as timeline slippage or data complexity.
Mapping and GIS: Structuring Access Logic
The tenure maps turned complex strategy into usable infrastructure. By loading SSSI shapefiles and creating detailed attribute tables, Axion enabled Natural England to colour-code individual parcels (red/yellow/green) during the access permission process.
• Interactive Visualisation: Sites like Blackwater Valley and Breighton Meadows were mapped to show exactly which parcels were freehold, which were corporate, and which required further contact verification.
• Integrated Data Cleaning: Axion applied a rigorous cleaning protocol to remove duplicates and label entries as "SSSI contacts," "Repeated," or "Outside scope," ensuring the master database remains a high-value asset for Natural England’s internal systems.
Project Conclusions: Impact and Learning
The commission successfully transitioned SSSI access from a reactive activity to a structured national system.
• Ownership Trends: Analysis revealed that Estate-Led ownership (e.g., Eastern Peak District Moor) allows for faster strategic agreements but requires higher governance formality, whereas fragmented ownership (e.g., river sites) requires significantly higher engagement effort per hectare.
• Evidence-Based Engagement: Identifying the "Persons Drift" trend allows Natural England to tailor its outreach strategies, recognizing that many owners are not resident on the land.
• Operational Readiness: By delivering the "Access Contacts for Surveyors" spreadsheets for all three priority tranches, Axion provided the SME team with an immediately actionable survey plan
The project marked a maturation point in Natural England’s monitoring capability. Rather than delivering static guidance, Axion provided living infrastructure capable of annual review and iterative development.
• Tenure as Infrastructure: Treating land ownership data as a spatially-referenced system—rather than a contact list—multiplies its value for long-term site stewardship.
• Addressing "Persons Drift": Recognizing that correspondence addresses are often distant from sites highlights the need for professional, administrative contact points rather than just on-site presence
The legacy of this work is a durable national asset—a master spreadsheet of contacts and a suite of ArcGIS-compatible layers that materially reduce the burden of coordination across the Defra group. This establishes a replicable model for future system-level land referencing, ensuring that the contribution of surveyors is supported by clarity, purpose, and lasting impact.
