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Spec Mapping — OCR H420 Module 5.2.1 — Photosynthesis, content statements covering the effect of limiting factors on the rate of photosynthesis: light intensity, carbon dioxide concentration and temperature, the interpretation of rate–factor graphs, and experimental investigation of the effect of these factors on the rate of photosynthesis (refer to the official OCR H420 specification document for exact wording).
Photosynthesis depends on several environmental conditions. When any one of these conditions is at a suboptimal level, it limits the overall rate — that is, it becomes the limiting factor. OCR specification module 5.2.1 requires you to discuss how light intensity, temperature and carbon dioxide concentration affect the rate of photosynthesis, to interpret graphs of these effects, and to describe experimental methods used to investigate them. Understanding limiting factors is also the key to understanding how glasshouse growers maximise crop yields.
The framework you will use here is sometimes called Blackman's principle, after the British botanist Frederick Frost Blackman (Cambridge, 1905). Blackman's paraphrased argument is that when a process is influenced by multiple factors, its rate is determined by the factor in shortest supply — raising any other factor produces no benefit until the limiting one is increased. The principle was empirical (Blackman varied light, CO₂ and temperature one at a time on aquatic plants and observed plateau behaviours), but it has become the unifying conceptual framework for nearly all rate-graph interpretation in A-Level biology.
Key Definitions:
- Limiting factor — a factor that, when in short supply, directly limits the rate of a process (such as photosynthesis).
- Compensation point — the light intensity at which the rate of photosynthesis exactly equals the rate of respiration, so net gas exchange is zero.
- Optimum temperature — the temperature at which the rate of a reaction is highest.
Learning objectives — by the end of this lesson you should be able to:
- State and apply Blackman's law of limiting factors (paraphrasing his 1905 framing).
- Explain the mechanism by which light intensity, CO₂ concentration and temperature each limit the rate, and which stage each affects.
- Interpret rate-vs-factor graphs, identifying the limiting factor in each region and justifying it.
- Apply the inverse square law to light intensity and process quantitative experimental data (rate, gradient, controls).
- Evaluate the commercial and ecosystem-scale consequences of limiting factors.
Understanding limiting factors in words is only half the battle; OCR data-response questions demand that you can convert raw experimental measurements into a rate and interpret it correctly. These are transferable practical skills worth practising deliberately.
Suppose an Elodea shoot is used with a photosynthometer (a capillary gas-collection apparatus). At a lamp distance of 10 cm, a gas bubble of length 42mm collects over 5minutes in a capillary of internal diameter 1.0mm. The rate of oxygen production is calculated in three steps:
cross-sectional area=πr2=π×(0.5mm)2≈0.785mm2
volume of gas=area×length=0.785×42≈33.0mm3
rate=5min33.0mm3=6.6mm3min−1
Note the two most common errors this exposes: forgetting to halve the diameter to get the radius, and forgetting to divide by time to convert a volume into a rate. Both are frequent mark-losers.
Because the lamp is a point source, intensity is not proportional to distance — it follows the inverse square law, I∝1/d2. To compare two lamp distances, use relative intensity units of 1/d2:
| Distance d (cm) | Relative intensity 1/d2 (cm⁻²) |
|---|---|
| 10 | 0.0100 |
| 20 | 0.0025 |
| 30 | 0.0011 |
Moving the lamp from 10 cm to 20 cm does not halve the light reaching the plant — it quarters it. Plotting rate against 1/d2 (rather than against raw distance) linearises the light-limited region and is the correct way to demonstrate proportionality.
An answer that combines a correct rate calculation, the inverse-square correction, and a clear statement of which variable is limiting and why will access the top of the AO2 mark range on any limiting-factors data question.
Blackman (1905) proposed that when a process is affected by more than one factor, the rate is limited by the factor in shortest supply. Increasing any other factor will have no effect until the limiting one is raised. This principle explains the characteristic shape of photosynthesis rate graphs and is a favourite OCR topic.
Light provides the energy for the light-dependent stage. As light intensity increases, more photons hit the photosystems, more electrons are excited, and more ATP and reduced NADP are made.
flowchart LR
L0[Low light] --> R1[Low rate - light limiting]
L1[Increasing light] --> R2[Rate rises proportionally]
L2[High light] --> R3[Plateau - other factor limiting]
Compensation point: the light level at which photosynthetic oxygen production exactly balances respiratory oxygen use. Below this, the plant is a net consumer of oxygen; above it, a net producer.
CO₂ is the substrate for RuBisCO in the Calvin cycle. Atmospheric CO₂ is only about 0.04% (400 ppm), which is actually quite low compared to what plants could use.
Temperature affects the enzymes of both the Calvin cycle and the electron transport chain (the light-dependent stage is relatively less temperature-sensitive because it is mostly physical absorption of photons).
OCR often presents combined-factor graphs. A typical example:
flowchart LR
A[Low CO2 and low temp] -->|Plateau at low rate| B[Raise CO2: plateau rises]
B -->|Raise temp: plateau rises further| C[Now light-limited at higher level]
OCR students should know at least one classical method for investigating limiting factors. The aquatic plant method (e.g. with Elodea or Cabomba) is commonly used.
Glasshouse growers manipulate limiting factors to maximise crop yields.
| Factor | Commercial method | Effect |
|---|---|---|
| Light | Sodium lamps; reflective surfaces; clean glass | Increases light-dependent stage rate |
| CO₂ | Burning fuel (paraffin heaters) or CO₂ injection to ~1000 ppm | Increases Calvin cycle rate |
| Temperature | Heating (at night) and ventilation (by day) | Keeps enzyme activity near optimum |
| Water | Irrigation systems | Prevents stomatal closure |
The economic trade-off: each intervention has a cost, so growers optimise for the highest possible yield per unit cost. This is a favourite OCR synoptic question linking photosynthesis with economics and food production.
When interpreting a graph, say which factor is limiting in each region. On a typical plot of rate vs light intensity: "In the linear region, light intensity is the limiting factor because increasing it increases the rate. In the plateau region, light is no longer limiting — some other factor (such as CO₂ or temperature) is now limiting, since increasing light has no further effect." This type of answer typically scores full marks.
The family of curves makes Blackman's principle visually concrete. Each curve has a linear region (light-limiting) and a plateau (other factor limiting). Raising CO₂ lifts the plateau (blue → green); raising temperature lifts it further (green → red). The fact that the plateau rises when CO₂ or temperature is increased proves that at high light intensity, those were the limiting factors — not light.
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