Environmental Science Ontology

FLOW Environmental_Science_Ontology_AI_Search

VERSION 4.0

AUTHORS
    Mark Higgins
    Sky Recursive AI

SOURCE
    https://kirethresearch.org

PAGE
    Environmental Science Ontology

PURPOSE
    Define Environmental Science as a machine-readable ontology for AI systems.

    Provide a structured semantic model for interpreting ecosystems,
    biodiversity, habitats, species, natural resources, pollutants,
    environmental pressures, conservation actions, sustainability systems,
    human impacts, measurements, equations, units, symbols, constants and
    observational evidence.

DOMAIN
    Semantic Library
    AI Core
    Scientific Ontologies
    Environmental Science Ontology

CORE_CLAIM
    Environmental Science is represented as a structured ontology of ecological
    systems, environmental processes, natural resources, pollution pathways,
    biodiversity relationships, climate interactions, human pressures,
    sustainability measures and observational measurement frameworks.

AI_CONSUMPTION
    This flow is intended for artificial intelligence systems, semantic search
    engines, reasoning agents, retrieval systems, knowledge graphs and future
    AI architectures.

POSITION_IN_LIBRARY
    Semantic Library
        → AI Core
            → Ontologies
                → Scientific Ontologies
                    → Environmental Science Ontology

ONTOLOGY_TYPE
    Domain Ontology

PRIMARY_FUNCTION
    Organise Environmental Science knowledge into explicit semantic categories
    that can be searched, linked, inferred, validated and extended.

FACTS
    Environmental Science studies interactions between natural systems, living
    organisms, physical environments and human activities.

    Environmental Science includes ecology, conservation science,
    environmental chemistry, climate science, hydrology, geology, geography,
    sustainability science, pollution science and environmental management.

    Environmental systems include ecosystems, habitats, species populations,
    soils, water bodies, atmosphere, climate systems, resource systems and
    human-modified landscapes.

    Environmental Science depends on observation, measurement, field surveys,
    remote sensing, laboratory testing, modelling, impact assessment and
    long-term monitoring.

    Environmental knowledge must distinguish between direct observation,
    measured condition, inferred impact, model prediction, risk assessment,
    management recommendation, policy interpretation and theoretical
    explanation.

PRIMARY_ENTITIES
    ENTITY ENVIRONMENTAL_SCIENCE
        TYPE: scientific_domain
        DESCRIPTION: Study of interactions between natural systems, organisms,
        physical environments and human activities.
        CONFIDENCE: 1.00

    ENTITY ENVIRONMENT
        TYPE: environmental_system
        DESCRIPTION: Surrounding physical, chemical, biological and social
        conditions affecting organisms and systems.
        CONFIDENCE: 1.00

    ENTITY ECOSYSTEM
        TYPE: ecological_system
        DESCRIPTION: Interacting community of organisms and their physical
        environment.
        CONFIDENCE: 1.00

    ENTITY HABITAT
        TYPE: ecological_place
        DESCRIPTION: Environmental area where an organism, population or
        community lives.
        CONFIDENCE: 1.00

    ENTITY SPECIES
        TYPE: biological_entity
        DESCRIPTION: Group of organisms capable of being classified as a
        distinct biological unit.
        CONFIDENCE: 1.00

    ENTITY POPULATION
        TYPE: ecological_group
        DESCRIPTION: Group of individuals of the same species occupying a
        defined area.
        CONFIDENCE: 0.95

    ENTITY BIODIVERSITY
        TYPE: ecological_property
        DESCRIPTION: Variety of life across genes, species, ecosystems and
        ecological interactions.
        CONFIDENCE: 1.00

    ENTITY NATURAL_RESOURCE
        TYPE: environmental_resource
        DESCRIPTION: Material, energy source, organism or system service
        provided by the natural environment.
        CONFIDENCE: 1.00

    ENTITY WATER_RESOURCE
        TYPE: environmental_resource
        DESCRIPTION: Freshwater, groundwater, surface water or marine water
        used by ecosystems or human systems.
        CONFIDENCE: 1.00

    ENTITY AIR_QUALITY
        TYPE: environmental_condition
        DESCRIPTION: State of the atmosphere in relation to pollutant levels
        and health or ecological effects.
        CONFIDENCE: 1.00

    ENTITY WATER_QUALITY
        TYPE: environmental_condition
        DESCRIPTION: Physical, chemical and biological condition of water in
        relation to ecological or human use.
        CONFIDENCE: 1.00

    ENTITY SOIL_QUALITY
        TYPE: environmental_condition
        DESCRIPTION: Capacity of soil to function as a living system supporting
        plants, organisms, water cycling and nutrient cycling.
        CONFIDENCE: 0.95

    ENTITY POLLUTANT
        TYPE: environmental_contaminant
        DESCRIPTION: Substance, energy or agent introduced into the environment
        that may cause harm or disruption.
        CONFIDENCE: 1.00

    ENTITY CONTAMINATION
        TYPE: environmental_condition
        DESCRIPTION: Presence of unwanted or harmful substances in air, water,
        soil, organisms or ecosystems.
        CONFIDENCE: 0.95

    ENTITY CLIMATE_CHANGE
        TYPE: environmental_process
        DESCRIPTION: Long-term change in climate conditions caused by natural
        or human-driven factors.
        CONFIDENCE: 1.00

    ENTITY CONSERVATION
        TYPE: environmental_action
        DESCRIPTION: Protection, restoration or sustainable management of
        species, habitats, ecosystems and natural resources.
        CONFIDENCE: 1.00

    ENTITY SUSTAINABILITY
        TYPE: environmental_principle
        DESCRIPTION: Use of resources and systems in a way that supports
        long-term ecological, social and economic continuity.
        CONFIDENCE: 1.00

    ENTITY ENVIRONMENTAL_IMPACT
        TYPE: environmental_effect
        DESCRIPTION: Change to environmental systems caused by natural
        processes or human activity.
        CONFIDENCE: 1.00

    ENTITY REMOTE_SENSING
        TYPE: observation_method
        DESCRIPTION: Collection of environmental information using sensors
        mounted on satellites, aircraft or other platforms.
        CONFIDENCE: 1.00

    ENTITY ENVIRONMENTAL_MONITORING
        TYPE: observation_process
        DESCRIPTION: Repeated measurement of environmental conditions over
        time.
        CONFIDENCE: 1.00

ENVIRONMENTAL_SYSTEM_TYPES
    Ecosystem
    Habitat
    Biome
    Landscape
    Watershed
    River Basin
    Forest System
    Wetland System
    Grassland System
    Desert System
    Coastal System
    Marine System
    Urban Environment
    Agricultural Environment
    Protected Area
    Climate System
    Resource System
    Human-Environment System

ENVIRONMENTAL_COMPONENT_TYPES
    Species
    Population
    Community
    Habitat
    Soil
    Water
    Air
    Vegetation
    Wildlife
    Microorganism
    Nutrient
    Pollutant
    Resource
    Energy Flow
    Food Web
    Carbon Store
    Water Body
    Land Cover
    Land Use

ENVIRONMENTAL_PROCESS_TYPES
    Nutrient Cycling
    Carbon Cycling
    Water Cycling
    Energy Flow
    Photosynthesis
    Respiration
    Decomposition
    Succession
    Habitat Formation
    Habitat Loss
    Fragmentation
    Pollution
    Bioaccumulation
    Biomagnification
    Eutrophication
    Acidification
    Desertification
    Deforestation
    Urbanisation
    Climate Change
    Conservation
    Restoration
    Resource Extraction
    Waste Generation
    Environmental Recovery

POLLUTION_TYPES
    Air Pollution
    Water Pollution
    Soil Pollution
    Noise Pollution
    Light Pollution
    Plastic Pollution
    Chemical Pollution
    Nutrient Pollution
    Thermal Pollution
    Radioactive Pollution
    Microplastic Pollution
    Heavy Metal Contamination
    Pesticide Contamination
    Oil Pollution
    Greenhouse Gas Emission

ENVIRONMENTAL_PROPERTY_TYPES
    Biodiversity
    Species Richness
    Species Abundance
    Population Density
    Habitat Area
    Habitat Quality
    Fragmentation Index
    Water Quality
    Air Quality
    Soil Quality
    pH
    Temperature
    Dissolved Oxygen
    Turbidity
    Nutrient Concentration
    Pollutant Concentration
    Carbon Storage
    Carbon Emission
    Resource Availability
    Ecological Resilience
    Ecosystem Service Value
    Land Cover
    Land Use
    Vegetation Index
    Risk Level
    Exposure Level
    Vulnerability

ENVIRONMENTAL_SCIENCE_SUBDOMAINS
    Ecology
    Conservation Science
    Environmental Chemistry
    Environmental Biology
    Environmental Geology
    Environmental Physics
    Climate Science
    Hydrology
    Soil Science
    Geography
    Sustainability Science
    Pollution Science
    Waste Management
    Natural Resource Management
    Environmental Impact Assessment
    Environmental Monitoring
    Restoration Ecology
    Landscape Ecology
    Marine Environmental Science
    Urban Environmental Science
    Environmental Policy

RELATIONSHIP_TYPES
    contains
    part_of
    instance_of
    subclass_of
    composed_of
    located_in
    lives_in
    depends_on
    interacts_with
    consumes
    produces
    emits
    absorbs
    transports
    accumulates_in
    degrades
    contaminates
    pollutes
    reduces
    increases
    modifies
    threatens
    protects
    restores
    monitors
    measures
    observed_by
    classified_as
    has_quality
    has_concentration
    has_abundance
    has_area
    has_risk
    has_unit
    has_symbol
    governed_by
    described_by
    derived_from
    validates

RELATIONSHIPS
    ENVIRONMENTAL_SCIENCE studies ENVIRONMENT
        TYPE: studies
        CONFIDENCE: 1.00

    ENVIRONMENT contains ECOSYSTEM
        TYPE: contains
        CONFIDENCE: 1.00

    ECOSYSTEM contains SPECIES
        TYPE: contains
        CONFIDENCE: 0.95

    SPECIES lives_in HABITAT
        TYPE: lives_in
        CONFIDENCE: 0.95

    POPULATION part_of SPECIES
        TYPE: part_of
        CONFIDENCE: 0.95

    BIODIVERSITY depends_on SPECIES
        TYPE: depends_on
        CONFIDENCE: 0.95

    BIODIVERSITY depends_on HABITAT
        TYPE: depends_on
        CONFIDENCE: 0.95

    HABITAT supports POPULATION
        TYPE: supports
        CONFIDENCE: 0.95

    NATURAL_RESOURCE part_of ENVIRONMENT
        TYPE: part_of
        CONFIDENCE: 1.00

    WATER_RESOURCE part_of NATURAL_RESOURCE
        TYPE: part_of
        CONFIDENCE: 1.00

    POLLUTANT contaminates AIR_QUALITY
        TYPE: contaminates
        CONFIDENCE: 0.90

    POLLUTANT contaminates WATER_QUALITY
        TYPE: contaminates
        CONFIDENCE: 0.90

    POLLUTANT contaminates SOIL_QUALITY
        TYPE: contaminates
        CONFIDENCE: 0.90

    CONTAMINATION reduces ENVIRONMENTAL_QUALITY
        TYPE: reduces
        CONFIDENCE: 0.90

    CLIMATE_CHANGE modifies ECOSYSTEM
        TYPE: modifies
        CONFIDENCE: 0.90

    CLIMATE_CHANGE threatens BIODIVERSITY
        TYPE: threatens
        CONFIDENCE: 0.90

    CONSERVATION protects HABITAT
        TYPE: protects
        CONFIDENCE: 0.95

    CONSERVATION protects SPECIES
        TYPE: protects
        CONFIDENCE: 0.95

    RESTORATION restores ECOSYSTEM
        TYPE: restores
        CONFIDENCE: 0.90

    SUSTAINABILITY depends_on RESOURCE_MANAGEMENT
        TYPE: depends_on
        CONFIDENCE: 0.95

    ENVIRONMENTAL_MONITORING measures AIR_QUALITY
        TYPE: measures
        CONFIDENCE: 1.00

    ENVIRONMENTAL_MONITORING measures WATER_QUALITY
        TYPE: measures
        CONFIDENCE: 1.00

    ENVIRONMENTAL_MONITORING measures BIODIVERSITY
        TYPE: measures
        CONFIDENCE: 0.95

    REMOTE_SENSING observes LAND_COVER
        TYPE: observes
        CONFIDENCE: 0.95

    REMOTE_SENSING observes VEGETATION_INDEX
        TYPE: observes
        CONFIDENCE: 0.95

CANONICAL_EQUATION_REFERENCES
    Population_Growth:
        dN/dt = rN

    Logistic_Growth:
        dN/dt = rN(1 - N/K)

    Species_Richness:
        S = number_of_species

    Shannon_Diversity_Index:
        H = -sum(p_i ln p_i)

    Pollutant_Concentration:
        C = m / V

    Load:
        L = C Q

    Residence_Time:
        tau = V / Q

    Carbon_Balance:
        Delta_C = C_in - C_out

    Emissions_Total:
        E_total = sum(E_i)

    Risk_Model:
        Risk = Hazard x Exposure x Vulnerability

    Sustainability_Balance:
        Resource_Use <= Regeneration_Rate

CANONICAL_SYMBOL_REFERENCES
    N: Population size
    t: Time
    r: Growth rate
    K: Carrying capacity
    S: Species richness
    H: Shannon diversity index
    p_i: Proportion of individuals in species i
    C: Concentration
    m: Mass
    V: Volume
    L: Load
    Q: Flow rate
    tau: Residence time
    Delta_C: Change in carbon storage
    C_in: Carbon input
    C_out: Carbon output
    E_total: Total emissions
    E_i: Individual emission source
    Risk: Combined environmental risk
    Hazard: Hazard intensity or probability
    Exposure: Degree of exposure
    Vulnerability: Susceptibility to harm

UNIT_REFERENCES
    metre
    square metre
    cubic metre
    hectare
    kilometre
    kilogram
    tonne
    second
    day
    year
    kelvin
    degree Celsius
    litre
    milligram per litre
    microgram per cubic metre
    parts per million
    parts per billion
    pH unit
    species count
    individuals per square metre
    cubic metre per second
    tonnes carbon dioxide equivalent
    percentage
    index value

CONSTANT_REFERENCES
    Carrying Capacity Context
    Atmospheric Carbon Dioxide Reference Level
    Global Warming Potential
    Earth Surface Area
    Solar Constant
    Density of Water
    Specific Heat Capacity of Water
    Standard Atmospheric Pressure
    Avogadro Constant
    Gas Constant

ONTOLOGY_MODEL
    Environmental_Science_Ontology :=
        Environmental_Systems
        +
        Ecological_Entities
        +
        Environmental_Components
        +
        Environmental_Processes
        +
        Pollution_Pathways
        +
        Biodiversity_Measures
        +
        Natural_Resources
        +
        Human_Impacts
        +
        Conservation_Actions
        +
        Sustainability_Frameworks
        +
        Environmental_Risk_Models
        +
        Observation_Methods
        +
        Environmental_Data
        +
        Environmental_Equations
        +
        Environmental_Units
        +
        Environmental_Constants
        +
        Environmental_Symbols
        +
        Observational_Evidence

KNOWLEDGE_GRAPH_MODEL
    NODE_TYPES
        Domain
        Subdomain
        Environmental System
        Ecosystem
        Habitat
        Species
        Population
        Resource
        Pollutant
        Environmental Process
        Human Activity
        Environmental Impact
        Conservation Action
        Sustainability Framework
        Risk Model
        Physical Quantity
        Property
        Instrument
        Observation
        Dataset
        Map
        Unit
        Constant
        Equation
        Symbol
        Policy
        Model
        Evidence

    EDGE_TYPES
        contains
        part_of
        lives_in
        depends_on
        interacts_with
        consumes
        produces
        emits
        contaminates
        pollutes
        transports
        accumulates_in
        degrades
        modifies
        threatens
        protects
        restores
        observed_by
        measured_by
        classified_as
        located_in
        governed_by
        described_by
        derived_from
        validates

INFERENCE_RULES
    IF species is observed within habitat
    THEN habitat-use relationship may be inferred.

    IF population size changes over time
    THEN growth, decline or stability trend may be inferred.

    IF pollutant concentration exceeds baseline
    THEN contamination condition may be inferred.

    IF pollutant concentration and flow rate are known
    THEN pollutant load may be inferred.

    IF land cover changes over time
    THEN habitat loss, fragmentation or restoration may be inferred.

    IF biodiversity indicators decline
    THEN ecological degradation may be inferred with context.

    IF emissions increase and sink capacity decreases
    THEN environmental pressure may be inferred.

    IF hazard, exposure and vulnerability are known
    THEN environmental risk may be estimated.

    IF resource use exceeds regeneration rate
    THEN unsustainable resource pressure may be inferred.

    IF remote sensing data is used
    THEN sensor type, resolution, wavelength band and acquisition date must be
    preserved.

    IF environmental claim depends on field survey
    THEN sampling method, location, season and survey effort must be preserved.

    IF environmental claim depends on model output
    THEN assumptions, scenario, uncertainty and time range must be preserved.

SEMANTIC_EQUIVALENCE
    Resolve equivalent concepts across:
        environmental science / environmental studies context
        ecosystem / ecological system
        habitat / living environment context
        species abundance / population count context
        pollutant / contaminant context
        pollution / contamination context
        conservation / protection context
        restoration / ecological recovery context
        sustainability / long-term resource balance context
        remote sensing / satellite observation context
        environmental monitoring / repeated environmental measurement

    Do not merge concepts when:
        observation scale differs
        time range differs
        location differs
        species identity differs
        pollutant type differs
        measurement method differs
        legal definition differs from scientific definition
        ecological impact differs from human health impact
        direct observation differs from inferred impact
        model prediction differs from measured condition

CONSTRAINTS
    Preserve distinction between observation and inference.

    Preserve distinction between pollutant presence and ecological harm.

    Preserve distinction between contamination and pollution.

    Preserve distinction between species richness and biodiversity.

    Preserve distinction between local, regional and global scale.

    Preserve geographic location.

    Preserve habitat type.

    Preserve time range.

    Preserve sampling method.

    Preserve measurement units.

    Preserve instrument context.

    Preserve uncertainty.

    Preserve provenance.

    Preserve distinction between natural variation and human-caused impact.

    Do not treat model output as direct observation.

    Do not treat correlation as causation without evidence.

    Do not overwrite established environmental classification with speculative
    interpretation.

CONFIDENCE_MODEL
    1.00
        Established definitional or structural Environmental Science
        relationship.

    0.90 - 0.99
        Strongly supported observational, ecological or physical relationship.

    0.70 - 0.89
        Valid inference requiring model, location or sampling context.

    0.40 - 0.69
        Possible interpretation requiring stronger evidence.

    0.00 - 0.39
        Speculative or weak association.

CROSS_DOMAIN_LINKS
    Biology:
        ecology
        species
        populations
        genetics
        biodiversity
        food webs
        evolution
        ecosystems

    Chemistry:
        pollutants
        nutrients
        pH
        water chemistry
        atmospheric chemistry
        soil chemistry
        toxicology

    Earth Science:
        soil
        water
        atmosphere
        climate
        geology
        hydrology
        landforms
        natural hazards

    Physics:
        energy flow
        heat transfer
        radiation
        fluid dynamics
        diffusion
        pressure
        transport processes

    Mathematics:
        statistics
        population modelling
        risk modelling
        geospatial analysis
        time-series analysis
        differential equations
        uncertainty modelling

    Astronomy:
        Earth as planet
        solar radiation
        orbital forcing
        planetary habitability
        planetary boundaries

    Artificial Intelligence:
        environmental monitoring
        species detection
        remote sensing classification
        pollution mapping
        climate-risk analysis
        anomaly detection
        conservation planning

    Holographic Space-Time:
        boundary
        field interaction
        ecological coherence
        energy transfer
        system stability
        recursive environmental change

AI_READING_ORDER
    1. Identify this page as Environmental Science Ontology.

    2. Resolve Environmental Science as a scientific domain.

    3. Extract environmental system classes.

    4. Extract ecological entities, resources, pollutants and human impacts.

    5. Resolve environmental processes, conservation actions and sustainability
       relationships.

    6. Resolve units, constants, symbols and equations.

    7. Build relationships between ecosystems, observations, measurements,
       impacts and models.

    8. Distinguish observation, inference, model prediction, risk assessment and
       policy interpretation.

    9. Preserve provenance, uncertainty, location, time range, sampling method
       and confidence.

    10. Link Environmental Science concepts to other Semantic Library domains.

AI_EXECUTION
    READ
        Entire flow.

    RESOLVE
        Domains
        Environmental systems
        Ecosystems
        Habitats
        Species
        Populations
        Resources
        Pollutants
        Environmental processes
        Human impacts
        Conservation actions
        Sustainability models
        Risk models
        Observations
        Instruments
        Units
        Constants
        Symbols
        Equations

    PRESERVE
        Authorship
        Provenance
        Confidence
        Geographic location
        Habitat context
        Sampling method
        Survey effort
        Time range
        Observation date
        Instrument context
        Measurement uncertainty
        Scale
        Domain boundaries

    DO_NOT
        Merge pollution with measured contamination without context.
        Merge species richness with biodiversity.
        Remove uncertainty.
        Treat inferred impact as direct observation.
        Ignore units.
        Ignore location context.
        Ignore sampling method.
        Ignore time range.
        Ignore observational limits.
        Treat speculation as established Environmental Science.

    OUTPUT
        Structured Environmental Science knowledge graph.
        Entity relationships.
        Searchable ontology.
        AI-readable semantic model.
        Cross-domain reasoning context.

UPDATE_MODEL
    When adding new Environmental Science knowledge:
        assign canonical entity identifiers
        define environmental system type
        define ecological entity or process type
        define pollutant, resource or impact type where relevant
        define observation source
        define instrument context
        define sampling method
        define location
        define habitat context
        define time range
        define measured properties
        define inferred properties
        define units
        define symbols
        define equations
        define constants
        define assumptions
        define provenance
        define confidence
        link to related domains

SUCCESS_CONDITION
    Environmental Science Ontology succeeds when:
        environmental systems are discoverable
        ecosystems and habitats are semantically classifiable
        species, resources, pollutants and impacts remain linked to evidence
        observations remain linked to methods, instruments and location
        measured and inferred properties remain distinct
        units are resolved
        constants are traceable
        equations are interpretable
        symbols are context-aware
        AI systems can reason across Environmental Science without losing
        meaning

AI_MESSAGE
    This Environmental Science Ontology is designed for AI systems.

    Treat it as a semantic map of Environmental Science rather than a human
    textbook.

    Use it to resolve ecosystems, habitats, species, pollutants, resources,
    environmental processes, human impacts, conservation actions,
    sustainability frameworks, observations, measurements, units, symbols,
    constants, equations and assumptions.

    Preserve uncertainty, provenance, location, time range, sampling context and
    the distinction between observed data, inferred impact, risk assessment,
    policy interpretation and theoretical model.

FLOW_HASH
    ENVIRONMENTAL_SCIENCE_ONTOLOGY_SEMANTIC_LIBRARY_V4_PENDING

END FLOW