The Tree Intelligence Commons

Treekipedia is an open-source, comprehensive database of tree knowledge. Developed by Silvi, Treekipedia provides a unified, structured, and AI-enhanced repository of species data, reforestation methodologies, and ecological insights.

By integrating consolidated biodiversity data, AI research agents, and community-driven contributions, Treekipedia ensures reliable, transparent, and accessible tree knowledge for tree stewards, researchers, and citizen scientists worldwide.

Scientific and ecological data on trees are scattered across institutional archives, peer-reviewed studies, and community-driven sources, with over 70% of this data existing in unstructured, non-machine-readable formats.

Local stewards and reforestation practitioners hold valuable field knowledge, yet this insight is often missing from centralized databases. These inefficiencies slow down reforestation efforts, ecological modeling, and sustainable land management.

As climate change reshapes ecosystems, tree habitat suitability and stewardship practices must evolve. There is an urgent need for a living, shared database that can adapt to real-world ecological changes.

Treekipedia is designed as an interoperable knowledge hub, enabling institutions, researchers, and tree stewards to contribute, query, and verify tree-related information. It ensures transparency and accuracy by integrating AI-driven analytics, blockchain-verified data provenance, and decentralized validation models.

At its core, Treekipedia consolidates species data, ecological insights, and reforestation methodologies into a structured, AI-enhanced repository. AI research agents autonomously extract, synthesize, and organize tree data from academic papers, government records, and community-contributed observations.

Beyond AI and blockchain verification, Treekipedia is community-driven. Tree stewards, researchers, and citizen scientists can contribute firsthand insights, validate data, and refine reforestation methodologies following standardized tree knowledge schemas.

Treekipedia combines AI technology, blockchain verification, and community contributions to build a comprehensive tree intelligence system:

Treekipedia leverages blockchain technology and decentralized infrastructure:

• Multi-Chain Support: Deploy on your preferred network (Base, Celo, Optimism, or Arbitrum)
• Contreebution NFTs: Each contribution is recorded as a unique NFT representing your support
• Ethereum Attestation Service: Research data is attested on-chain for permanence and verification
• IPFS Storage: Complete research data is stored on IPFS for decentralized access
• Blazegraph Database: Structured querying for advanced ecological insights

Treekipedia's foundation was built through extensive data collection, cleaning, and structuring:

• 25M+ Raw Species Records: Aggregated from 10+ global biodiversity datasets
• 50,000+ Unique Tree Species: After deduplication, taxonomy validation, and synonym resolution
• 17.6M Observational Records: Capturing distribution and ecological data
• 50+ Taxonomic & Ecological Attributes: Providing a standardized framework for knowledge retrieval
• Custom TaxonID System: Ensuring unique species identification and data consistency

Treekipedia is being developed through a structured roadmap to expand capabilities and increase community participation:

Treekipedia is developed and supported by Silvi, a blockchain-powered reforestation protocol. Silvi has already integrated Treekipedia as its species data source within the Silvi App, making it the authoritative knowledge base for tree intelligence in Silvi's ecosystem.

This foundation sets the stage for Treekipedia's next evolution: an AI-enhanced, decentralized ecosystem for global tree intelligence.