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Studying for ESS, inculdes 1.1, 1.2 and 1,3
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Perspective
How an individual or group views and understands a situation; shaped by experience; culture; science; economics; religion; local and global events
Values
Principles that individuals and communities consider important; they guide decisions and actions
Perspective vs argument
A perspective is a viewpoint; an argument is the set of reasons used to support or challenge it
Environmental Value System (EVS)
A framework (worldview) that shapes how individuals or groups perceive and respond to environmental issues
EVS inputs
Education; media; personal experiences; economic context; culture and religion
EVS outputs
Decisions and actions - lifestyle choices; activism and advocacy; voting behaviour
Technocentric
Technology and human ingenuity can solve environmental problems
Anthropocentric
Humans are central and the environment exists mainly for human benefit; includes environmental managers and soft ecologists
Ecocentric
The natural world has intrinsic value; deep ecologists call for a radical shift in consciousness
Soft ecologists vs deep ecologists
Soft: sustainable living with human-centred solutions; deep: intrinsic value of all living beings
Values surveys
Explore beliefs and attitudes about environmental issues and identify patterns between social groups; ethics: informed consent and anonymity
Behaviour-time graph
Shows how behaviour or perspectives change over time (e.g. littering declining after awareness campaigns)
Influences on the environmental movement
Know ONE example from each: literature; media; major events; technological; scientific; international agreements
Literature example
Rachel Carson's Silent Spring (1962) exposed the dangers of DDT; sparked public concern and policy change
Media example
Attenborough's documentaries or Greta Thunberg's school strike amplify issues to a global audience
Major event example
Minamata (1956) - industrial pollution; Bhopal (1984) - stricter safety rules; Chernobyl - nuclear risks; Deepwater Horizon (2010) - fossil fuel regulation
Technological example
Green Revolution (1940s-1960s) increased food production; renewable energy changed the energy sector
Scientific example
Pesticide toxicity (1960s) led to chemical regulation; link between human activity and global warming
International agreement example
Rio Earth Summit (1992); Convention on Biological Diversity (1992); Paris Agreement (2015) - limit warming to well below 2°C
System
A set of interacting or interdependent components that work together to form a functional whole
Storages and flows
Storages accumulate energy or matter; flows are movements of energy or matter into or out of or within the system
Inputs vs outputs
Inputs are flows entering the system; outputs are flows leaving it
Transfer vs transformation
Transfer: movement without change of form (river to ocean); transformation: change of form or state (light to chemical energy)
Systems diagram
Shows components and flows (arrows); limitation: oversimplifies reality
Open vs closed system
Open exchanges energy and matter (forest); closed exchanges energy only (Biosphere 2)
Gaia hypothesis
Earth is a self-regulating system where living and physical components maintain stable conditions through feedback
Negative feedback
Output reduces or reverses change; stabilises the system (detection; counteraction; restoration of balance)
Negative feedback examples
Predator-prey populations; ocean absorption of CO₂; Daisyworld (black daisies warm; white daisies cool)
Positive feedback
Amplifies a small disturbance and pushes the system away from equilibrium; can cause rapid and irreversible change
Tipping point
A small change triggers a large shift into a new equilibrium; hard to reverse
Eutrophication (positive feedback example)
Excess nitrates and phosphates; algal bloom; algae decompose; oxygen drops; aquatic life dies; dead zone
Types of equilibrium
Stable: returns to original state; steady-state: inputs equal outputs; developing: evolves toward a new equilibrium (succession)
Model
A simplified representation of reality used to understand a system and predict its response to change
Model strengths
Simplification; predictive power; transferability; visualisation
Model limitations
Oversimplification; uncertainty; data limitations (e.g. climate models cannot perfectly predict tipping points)
Emergent properties
Characteristics that arise from interactions between components but are not present in the components themselves
Emergent properties example
Yellowstone wolves reduced deer; vegetation recovered; the whole ecosystem changed (trophic cascade)
Resilience
A system's ability to resist disturbance and recover instead of reaching a tipping point; resistance plus recovery
Diversity and resilience
Higher biodiversity means higher resilience through functional redundancy (other species cover a lost role)
Functional redundancy
Multiple species perform similar roles so the system stays stable if one is lost (e.g. pollinators)
How humans reduce resilience
Monocultures; fragmentation; overexploitation; pollution and climate change push systems toward tipping points
Sustainability
Practices that ensure the long-term viability of a system by maintaining the health and stability of societal and ecological systems
Three pillars of sustainability
Environmental; social; economic
Strong sustainability model
Environment is the foundation; economy and society sit inside it; environmental limits cannot be exceeded
Sustainable development
Meeting the needs of the present without compromising the ability of future generations to meet their own needs
Sustainable development examples
Renewable energy (Sweden; Costa Rica); green cities (Copenhagen cycling); agroforestry
Newfoundland cod collapse
Overfishing with bottom trawling and sonar; quotas too high; moratorium in 1992; over 30000 jobs lost; cod have still not fully recovered
Lessons from the cod collapse
Ecosystems have limits; act before collapse (precautionary management); removing one species affects the whole food web; use quotas and marine protected areas
Environmental justice
All people have the right to a clean healthy environment and fair access to resources regardless of background
Environmental injustice examples
Cancer Alley (Louisiana) - petrochemical plants and high cancer rates; landfills sited in low-income areas (cheap land and less political power)
Worst subject in IB

Green GDP
GDP adjusted for environmental costs (e.g. $1 trillion minus $200 billion costs = $800 billion); gives a truer picture of sustainable development
Natural capital
The stock of natural resources and ecosystem services that long-term economic stability depends on
Sustainability indicators
Quantitative measures of environmental; social and economic health that can be used at local; national or global scale
Ecological footprint
Land and water area needed to supply the resources a population uses and absorb its waste; measured in global hectares per person
Biocapacity
Ability of biologically productive land and water (forests; cropland; fisheries) to regenerate resources and absorb waste
Ecological deficit and overshoot
Footprint greater than biocapacity means resources are used faster than they regenerate (overshoot); Earth Overshoot Day marks when humanity exceeds the annual budget
Footprint vs biocapacity
Footprint less than or equal to biocapacity is sustainable; footprint greater than biocapacity is unsustainable (resource depletion; pollution; ecosystem collapse)
Carbon and water footprint
Carbon: total greenhouse gases emitted by a person or activity; water: blue (surface and ground) and green (rainwater) and grey (polluted) water
Limitations of footprints
Complex data and assumptions; overlook biodiversity loss and social impacts
Improving biocapacity
Reforestation and ecosystem restoration; renewable energy; sustainable agriculture and water management (technology alone cannot solve unsustainability)
Citizen science
Public involvement in collecting and reporting environmental data (e.g. NASA GLOBE; iNaturalist; eBird)
Benefits of citizen science
Large-scale real-time data scientists cannot collect alone; public engagement; data for policymakers
Challenges of citizen science
Data quality (fix: training and standard protocols); inclusivity; long-term volunteer engagement and funding
Three-pillar model limitation
Treats the pillars as separate when they are deeply interconnected
Ecological footprint model limitation
Does not account for technology that improves resource efficiency
Doughnut economics
Social foundation (inner boundary) and planetary limits (outer boundary) define a safe and just space; limitation: thresholds are hard to quantify
Sustainable Development Goals (SDGs)
17 global goals set in 2015 to be met by 2030; apply to all countries; used by governments to set targets
Criticisms of the SDGs
Lack ambition and do not address root causes; global in scope but ignore local contexts
Planetary boundaries
Climate change; biosphere integrity; land-system change; biogeochemical flows; freshwater use; ocean acidification; aerosol loading; ozone depletion; novel entities
Circular economy
Eliminate waste and pollution; circulate products and materials; regenerate nature
Worldview
A broad set of beliefs and values through which a person or group interprets the world; it shapes values and perspectives
Perspective vs values vs worldview vs EVS
Perspective: how someone views a specific issue; values: what is considered important; worldview: broad beliefs about the world; EVS: a worldview applied to the environment (inputs and outputs)
Technocentric characteristics
Optimistic about technology and innovation; economic growth can continue; problems solved by experts and technological fixes
Anthropocentric characteristics
Humans as managers or stewards of the environment; nature valued for human benefit; uses laws and taxes and regulation
Ecocentric characteristics
Nature has intrinsic value; limits to growth; humans are part of nature; small-scale and low-impact lifestyles
Isolated system
Exchanges neither energy nor matter with its surroundings (only theoretical; the universe is the closest example)
Types of systems and scale
Systems can be living or non-living; open or closed or isolated; at any scale from micro (a pond) to macro (the biosphere)
Albedo
The proportion of incoming solar radiation reflected by a surface; high for ice and snow; low for dark surfaces like ocean or forest
Albedo positive feedback
Warming melts ice; less ice means lower albedo; more heat absorbed; more warming and more melting
Tipping point example - keystone species
Loss of a keystone species (e.g. sea otters) lets its prey boom (urchins) and collapses the ecosystem (kelp forest)
Tipping point example - coral reef death
Warming and acidification cause bleaching; past a threshold the reef dies and shifts to an algae-dominated state
Resilience and size or diversity
Smaller systems (smaller storages) and systems with lower diversity are less resilient and reach tipping points more easily
Natural capital
Natural resources that provide goods and services; renewable (forests and fish and soil) or non-renewable (fossil fuels and minerals)
Natural income
The yield or goods and services harvested from natural capital each year (e.g. timber or fish catch); sustainable if capital is not depleted
Carrying capacity
The maximum population size of a species that an environment can support indefinitely with available resources
Environmental sustainability
Using natural resources at a rate they can be replenished and ecosystems can recover
Social sustainability
Systems that support human well-being; equity; education; health; and cultural survival over the long term
Economic sustainability
Economic activity that can continue long term without depleting natural resources or harming the environment
Regenerative design
Designing systems that restore and renew ecosystems and resources instead of just sustaining them
Distributive design
Designing economic systems that share value fairly among everyone who contributes to creating it