Why we should create Jurassic Parks

Introduction

Four converging technologies—artificial superintelligence (ASI), satellite connectivity, autonomous robotics, and synthetic biology—enable a fundamental reconceptualization of protected areas. Current protected areas emerged through historical accident rather than systematic design: the Amazon and Congo Basin persist due to remoteness, not calculated placement for maximum planetary benefit.

Indigenous peoples comprise 6% of global population yet safeguard 80% of remaining biodiversity while receiving 0.13% of climate funding.¹ This inefficiency is catastrophic: the northern white rhinoceros went extinct in Garamba National Park partly because no one consulted local communities about water source locations. This issue has been flagged by multiple thought leaders:

"With Starlink and AI, you can reduce the time from fieldwork to analysis from an average of 12-18 months to 12 seconds."

— Project Sharamentsa Technical Brief²

"Terraforming became 'merely the hardest technological problem that humans have ever faced.'"

— Nature Astronomy, May 2025⁹³

"The 30x30 target requires 33% annual funding growth—three times the 11% observed 2020-2024."

— IPS News, December 2025³⁸

Geome (Geological Dome) refers to human-constructed parks optimized for complex ecosystem function. The title "Jurassic Parks" captures the ambition: dinosaurs and other de-extinct species should be present in these areas when optimal for that zone and technologically possible. This concept extends to any form of human-constructed complex ecosystem, whether featuring megafauna from the Pleistocene, species rescued from extinction, or novel assemblages engineered for maximum planetary benefit.

Table 1. Key metrics defining the gap between current conservation outcomes and Geome targets.

Why Geome?

Geome offer several fundamental benefits compared to traditional protected areas, especially when optimized by ASI for planetary-scale functions. Significant operational improvements can be achieved through continuous AI monitoring, indigenous partnership integration, and extraction-protection coexistence. Perhaps most importantly, they can generate revenue streams that make conservation economically self-sustaining.

Reduced Operating Constraints

Traditional protected areas face monitoring constraints that make comprehensive coverage impossible. The Amazon spans 5.5 million km². Patrol-based conservation monitors <1% of territory at any given time. This creates systematic blind spots that poachers, illegal loggers, and invasive species exploit.

Detection probability scales with sensor density:

Where λ varies by threat type (poachers ≈ 0.3, illegal logging ≈ 0.8, invasive species ≈ 0.15). At current densities (~0.01 sensors/km²), detection probability is <5%. Geome networks target 10 sensors/km², achieving >95% detection.

Economic Transformation

Traditional protected areas derived value from fauna uniqueness. This model is collapsing:

1. De-extinction: Species presence becomes technologically reproducible
2. Digital access: High-definition streaming serves the $599B nature tourism sector without physical travel⁴¹
3. Climate migration: Species ranges are fluid

Geome shift economic value from fauna uniqueness to fauna optimization—curating species assemblages for maximum ecosystem function.

Table 2. Cost comparison of traditional protected area monitoring vs. Geome network over 10 years.

Industry Landscape

A new ecosystem of companies is emerging at the intersection of synthetic biology, conservation technology, and climate engineering. Understanding these players is essential to grasping the near-term feasibility of Geome.

De-Extinction

Biodiversity Genomics

Weather Modification

Conservation Monitoring

Rewilding

Technology Stack

The Geome Architecture

Each Geome deploys standardized sensor infrastructure designed for indigenous community operation:

Table 3. Geome hub specifications.

AI Detection Performance

Table 4. AI detection system performance metrics.

Robotic Fauna & Scaling Laws

Human rangers cannot achieve comprehensive ecosystem awareness. The solution is not more humans—it is persistent autonomous presence through robotic fauna.

The Scaling Hierarchy

Geome deployment follows a deliberate scaling strategy, each layer enabling the next:

Table 5. The scaling hierarchy: each layer enables the next while reducing cost per hectare.

Why Robotic Fauna?

• Persistence: A single charging station enables 24/7 coverage of 10,000 hectares
• Access: Canopy drones observe arboreal species invisible to ground cameras
• Non-disturbance: Biomorphic designs integrate without triggering flight responses
• Intervention: Deploy deterrents, deliver supplies, guide animal movements during emergencies

Scaling Laws of Protection

Deterrence effect scales non-linearly with perceived detection risk:

The squared relationship means moving from 5% to 50% detection probability creates 100× deterrence improvement—even with constant prosecution rates.

The Protection-Extraction Coexistence Model

Traditional conservation treats data extraction and ecosystem protection as competing priorities. Geome invert this: extraction systems directly enable protection.

Table 6. How extraction activities fund protection infrastructure.

Case Studies

Northern White Rhinoceros: Preventable Extinction

Heavily-armed groups entered the park undetected. African Parks CEO: "Too little, too late."⁶³

Lessons: Security and conservation are inseparable. Real-time monitoring could have provided early warning.

Cane Toad Invasion: Cascading Consequences

Introduced to Australia in 1935 for pest control,⁶⁵ cane toads caused:

• Northern quoll populations: −95%⁶⁷
• Mass mortality of freshwater crocodiles⁶⁸
• Disrupted scavenging ecosystem services⁷⁰

Lessons: Species introductions require exhaustive ecological modeling. ASI systems could prevent similar disasters.

Starlink in Amazon: Technology's Double Edge

Benefits: Rapid territorial invasion reporting, emergency medical access, Digital Guardian training.^71–73

Challenges: Misinformation spread, youth social media engagement eroding traditional knowledge.^74–75

Community Response: Some communities established governance including nighttime internet bans.⁷⁷

Lessons: Technology deployment must be community-controlled.

Design Principles for Geome

1. Optimization over preservation Species composition selected by ASI for weather stabilization, carbon sequestration, and resilience—not arbitrary historical baselines.
2. Indigenous integration No Geome operates without deep indigenous partnership; their knowledge, labor, and sovereignty are structural requirements.
3. Extraction-protection coexistence Every data extraction system must simultaneously enhance protection capability. No passive observation.
4. Scaling hierarchy Deploy infrastructure in deliberate sequence—hubs, cameras, acoustics, tracking, robotic fauna—each layer enabling the next.
5. Continuous monitoring Sensor density sufficient to achieve >95% detection probability with response latency in minutes.
6. Robotic augmentation Autonomous systems providing persistent presence beyond human capacity.
7. Global connectivity All Geome networked for coordinated responses to migratory species, climate events, and disease.
8. Terraformation relevance All systems designed for extraterrestrial application, emphasizing reproducibility.

Implementation Pathway

Conclusion

The fictional Jurassic Park failed because its creators prioritized spectacle over function. Geome learn from this parable.

The components exist: Colossal has demonstrated de-extinction feasibility; Basecamp has proven ethical biodiscovery can fund conservation; Rainmaker is developing weather modification at ecosystem scales; Planet Labs, RFCx, and Conservation X Labs have built the monitoring stack; Pleistocene Park has validated rewilding's climate benefits.

What remains is integration—and scaling.

The path forward is clear: proprietary Geome hubs establish connectivity and processing capacity. Camera and acoustic networks expand coverage. Tracking systems link individual animals to ecosystem-wide patterns. Robotic fauna close the remaining gaps, achieving the persistent autonomous presence that human rangers cannot sustain.

Each layer of extraction—genomic licensing, digital tourism, carbon verification, research data—funds the infrastructure that simultaneously protects. This virtuous cycle breaks conservation's fundamental constraint: that protection is expensive and produces no revenue.

Geome represent engineered planetary infrastructure: optimized by ASI, monitored by robotic fauna, operated with indigenous communities, funded by data extraction, and designed for extraterrestrial replication. They may never contain dinosaurs. But they will contain everything needed to ensure complex life continues on Earth—and beyond it.