A step-by-step writing frame for the IBDP Environmental Systems and Societies individual investigation. Each section pairs a place to write with the rubric, worked examples, and the traps that cost students marks — built around sound field sampling, a testable hypothesis, and statistical analysis of an environmental system.
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📄 Official IB subject brief (ibo.org ↗) — your teacher or IB coordinator can share the full subject guide.
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A strong IB Environmental Systems and Societies individual investigation starts with a focused research question on a measurable environmental gradient or factor — distance from a footpath, altitude, soil pH or distance from a pollution source — linked to a measurable environmental response. You then design field sampling (quadrats and transects; random vs systematic vs stratified placement), write a fieldwork risk assessment and address environmental ethics and value systems, and set out a reproducible method. Processing follows: Simpson's diversity index, an appropriate statistical test such as Spearman's rank correlation, a graph with error bars, then a conclusion tied to the environmental issue. Free to start; exports DOCX and PDF.
ESS is now a group 4 experimental science, and the individual investigation is its single internally assessed piece. The assessment rewards a sound research design (a focused, contextualised question with justified variables and a valid sampling design), careful data analysis (a diversity index, a measure of spread and an appropriate statistical test), a conclusion that answers the question within the data, and a critical evaluation of the method's limitations and improvements.
Most ESS investigations sample along an environmental gradient using belt transects with quadrats placed at fixed intervals, recording species abundance as percentage cover by grid. Simpson's diversity index, D = 1 − Σ(n/N)², converts those abundances into a single comparable value per quadrat, and Spearman's rank correlation tests whether diversity changes significantly along the gradient at α = 0.05.
The full Research Design section is free to start — sign in to save your draft and sync it across devices. Every section is written by experienced IB examiners, pairing a place to write with the rubric, worked examples and the traps that cost marks.
A focused, measurable question that names the environmental system and site, the independent variable (the gradient, with its range and units) and the dependent variable (with how it is measured), so the whole design is clear from one sentence — for example, "How does distance from a footpath (0–8 m) affect the species diversity (Simpson's index) of grassland plant communities at a named site?" It should sample along a gradient you can measure with quadrats or transects and connect to a real environmental issue and value systems.
Lay belt transects along your gradient and place a fixed-size quadrat (e.g. 0.5 m × 0.5 m, gridded) at set distances. Choose and justify a strategy — systematic sampling suits a gradient, random sampling removes placement bias in a homogeneous area, stratified sampling represents sub-habitats in proportion. Use several replicate transects so each distance has multiple quadrats, giving a mean, a standard deviation and enough paired points for a correlation, and reduce bias with random start points and a single identification key.
Use D = 1 − Σ(n/N)², where n is the abundance (e.g. percentage cover) of each species and N is the total abundance across all species. Square each species' proportion, sum them, and subtract from one; D runs from 0 to 1, with higher values meaning greater diversity. Show one full worked example, then report the mean D and standard deviation for each distance and test the trend with Spearman's rank correlation.
Yes — the Research Design section is free to start, and you can export your work to both DOCX and PDF at any time. Sign in to save your draft to the cloud and continue across devices; the later Data, Conclusion and Evaluation sections are part of the full IA.