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In graph Frontier

Deforestation

The clearing of forests, which reduces how much CO₂ plants remove from the air.

At a glance

Type
Disciplines 2
Mental models 1
Role in the graph
Cross-disciplinary bridge
reaches 5 discipline lenses

Key signals

Cross-disciplinary reach
Disciplines
2
  • Geography
  • Economics
Evidence & development

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • Currently dark in the atlas: no key date stored · 3 of 4 of its relations lack claim-level evidence.

    atlas representation · Describes the current Thinking OS representation, not the state of the world.

  • Structural neighbourhood: 3 → 31 → 135 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

33%

cross-field
2 within-field, 1 cross-field

1 of 4 relations carry evidence · concept has a verified source

Strengths & constraints

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
  • No dated history stored — the atlas records no key date for this concept. atlas representation

Conditions

  • Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

What it looks like

Concrete cases that make this idea recognisable in the real world.

Clearing forest for farmland

When forest is cleared for crops or grazing, the trees that once absorbed CO₂ are gone, and burning them adds still more. The land may feed more people but stores far less carbon.

Where you'll meet it

Journeys that walk you through this idea. You may recognise it from more than one.

Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.

This idea also appears in…

The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”

Trade-offs42 disciplines · 31 concepts
Mechanical Engineering
Political Science
Statistics
Sustainability Science
Systems Engineering
Cultural Studies
Data Science
Design
Ecology
Energy Engineering
Environmental Engineering
Evolutionary Biology
Human-Computer Interaction
Industrial Design
Information Theory
Machine Learning
Materials Engineering
Mathematical Modelling
Mathematics
Mechanics
Medicine
Nutrition Science
Physical Chemistry
See the pattern →

Concepts

  • Trade-offEngineeringBiologySystems Engineering

    shares a mental model

  • OptimizationOptimizationEngineeringSystems Engineering

    shares a mental model

  • RiskStatisticsMedicineEthics

    shares a mental model

  • EfficiencyEngineeringPhysicsEnvironmental Engineering

    shares a mental model

  • Heat enginePhysicsThermodynamicsMechanical Engineering

    shares a mental model

  • ScarcityEcologyPolitical SciencePublic Policy

    shares a mental model

Mental models at work here

The scientific picture
  • Connects 3 other ideas across 2 disciplines.
  • A cross-disciplinary bridge — its connections reach into 5 other fields.
  • Most of its connections are of the “Cause & effect” kind.
  • It exercises 1 reusable thinking pattern.
  • It features in 1 learning journey.

Derived from the graph’s real structure — observations, not a score.

Sources