Ecology
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Ecologyconnects toBiology
Shared thinking patterns
Why this bridge exists
Scarcity causes Trade-off — Scarcity forces trade-offs.
Explore this connection →Ecologyconnects toMicrobiology
Shared concepts
Shared thinking patterns
Why this bridge exists
Quorum sensing enables Biofilm — quorum sensing enables biofilm.
Explore this connection →Ecologyconnects toEconomics
Shared concepts
Shared thinking patterns
Why this bridge exists
Scarcity causes Trade-off — Scarcity forces trade-offs.
Explore this connection →Ecologyconnects toPhysics
Shared thinking patterns
Why this bridge exists
Food web enables Energy transfer — A food web is how energy is transferred through an ecosystem.
Explore this connection →Ecologyconnects toEnvironmental Science
Shared concepts
Shared thinking patterns
Why this bridge exists
Seasonality influences Climate — Seasonal cycles shape a region's climate.
Explore this connection →Ecologyconnects toChemistry
Shared thinking patterns
Why this bridge exists
Autotroph depends on Photosynthesis — autotroph depends on photosynthesis.
Explore this connection →Ecologyconnects toEngineering
Shared concepts
Shared thinking patterns
Why this bridge exists
Scarcity causes Trade-off — Scarcity forces trade-offs.
Explore this connection →Ecologyconnects toEvolutionary Biology
Shared concepts
Shared thinking patterns
Why this bridge exists
Selective pressure causes Natural selection — selective pressure drives natural selection.
Explore this connection →
Field shape — representation health
68/100 overall · 48 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 68/100 — healthy representation. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth, provenance.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 68 representation-health is above the 62 median of 28 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
57% of its relations reach into 50 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no dated concepts.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
33% of its concepts have a single connection (mean internal degree 1.9) — a fairly cohesive internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- EcosystemreachesBotanyDemographyEcological EconomicsEconomicsEnvironmental ScienceForestryMarine BiologyMicrobiologyMycologyPublic HealthStatisticsVeterinary MedicineZoology
- Food webreachesAnthropologyDemographyDiscrete MathematicsEngineeringEnvironmental EngineeringEvolutionary BiologyLinear AlgebraMathematicsNetwork ScienceNutrition SciencePhysicsSociologyUrban Planning
- Population growthreachesAgricultureAlgebraEcological EconomicsEconomicsEnvironmental ScienceFinanceHuman GeographyMathematicsSystems Biology
- ResiliencereachesBiologyEnvironmental EngineeringForestryHuman-Computer InteractionMicrobiologyPhysicsSystems BiologySystems Science
- ScarcityreachesAgricultureBiologyBusinessDesignEngineeringEthicsNutrition ScienceSystems Engineering
- SeasonalityreachesAtmospheric ScienceBiologyEarth & Space SciencesEnvironmental ScienceGeographyMeteorologyPhysics
Mental models that recur here
Networks ×7
A set of parts connected so that a change in one can spread to others through the links.
Feedback loop ×5
A loop where an effect feeds back to change its own cause. Reinforcing loops amplify change; balancing loops resist it.
Constraints ×4
Limits that decide what is possible. Usually one binding constraint — the bottleneck — governs the outcome until it is relieved.
Levels & hierarchy ×4
Systems nest inside systems — parts form wholes that are themselves parts of larger wholes, each level with its own rules and language.
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- Arthur Tansley
1871–1955
- J.B.S. Haldane
1892–1964
- G. Evelyn Hutchinson
1903–1991
- Ernst Mayr
1904–2005
- Robert T. Paine
1933–2016
- Lynn Margulis
1938–2011
- Wolfgang Witte
1945–present
- Michael Porter
1947–present
- David Tilman
1949–present
- 48 concepts are viewed through this lens.
- 23 of them bridge into other disciplines.
- Its signature thinking pattern is “Networks” (recurs in 7 concepts).
- The most common kind of connection here is “Kind & structure”.
- It is most tightly linked to Biology.
Derived from the current graph structure — observations, not a judgement of the field.