Skip to content
Dabour HubLEARN · PRACTICE · EXPLORESign inStudent

3.3.6Inquiry Process

Carbon Dioxide Enrichment Experiments — IB Biology HL Revision Notes & Topical Questions

5 min read 5 parts Lesson 121 of 160

📚 IB Biology HL Hub / Topical Revision
🩺
100% Curriculum Specification Match Lesson Doctor Verified
The only platform with 100% curriculum specification match and verified interactive question banks.
0%read

Part 1 of 5Why Do These Experiments?

3.3.6 Carbon Dioxide Enrichment Experiments

Enrichment experiments test how plants respond to higher carbon dioxide concentrations.

Rising carbon dioxide
  • The concentration of carbon dioxide in the atmosphere is increasing,
    • so scientists want to know how plant growth and photosynthesis will respond.
Predicting the future
  • Experiments that raise carbon dioxide concentration give evidence for predictions about crops, forests and carbon storage.
Food security
  • The results help to predict future crop yields, which matter to the global food supply.
Ecosystem effects
  • Changes in plant growth can alter food webs, water use and the amount of carbon stored in biomass.

Part 2 of 5Two Experimental Designs

Enclosed greenhouse
  • Plants grow in a greenhouse or polytunnel, so light, temperature, carbon dioxide and wavelength can be altered and controlled.
Greenhouse limitation
  • Only small species that fit in the enclosure can be studied, and a greenhouse differs from a natural ecosystem.
FACE experiments
  • Free air carbon dioxide enrichment releases carbon dioxide from pipes into an area of natural ecosystem or crop field.
FACE advantage
  • Large plants and trees can be studied in realistic conditions, with their normal soil, pests and neighbours.
FACE limitation
  • Other variables such as rainfall and temperature cannot be controlled, only monitored, so effects may be harder to separate.
FeatureEnclosed greenhouseFACE
Variable controlHighLow
Plant sizeSmallLarge, including trees
RealismLowerHigher
CostLowerHigher

Part 3 of 5Experimental Design

Experimental Design
Independent variable
  • The one factor changed deliberately, such as carbon dioxide concentration.
Dependent variable
  • The measured outcome, such as photosynthetic rate, dry mass or height of the plants.
Controlled variables
  • Other factors that could affect results, such as light, temperature and water, must be controlled or at least monitored.
Preliminary research
  • Early studies help to identify which variables matter and how to control them effectively.

Part 4 of 5Evaluating the Evidence

1
Compare plants grown at ambient carbon dioxide concentration with plants grown at raised concentration, with every other condition kept the same where possible.
2
Measure dependent variables such as rate of photosynthesis, dry mass, leaf area or crop yield over a full growing season.
3
Repeat on several plant species, because different species may respond differently to extra carbon dioxide.
4
Consider whether another factor, such as water or nutrient supply, limits growth, so that extra carbon dioxide has less effect than expected.
5
Treat the conclusions as provisional, since experiments last only a few years and may not reflect long-term responses.

Part 5 of 5Exam Checklist & Tips

3.3.6 – Key Points for the Exam

  • FACE Free air carbon dioxide enrichment: an experiment that raises carbon dioxide in an open ecosystem.
  • Independent variable The variable deliberately changed in an experiment.
  • Dependent variable The variable measured as the outcome.
  • Confounding variable An uncontrolled variable that may affect the result.

Common Mistakes

  • Assuming a greenhouse result applies exactly to a forest; the conditions are very different.
  • Failing to monitor variables that cannot be controlled in a FACE experiment.
  • Describing FACE as an enclosed experiment, when it takes place in open air.
  • Changing carbon dioxide and temperature together, which makes it impossible to see the effect of either alone.

Last updated:

\n