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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.
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.
| Factor | Affects which stage? | Mechanism of limitation | How to raise the ceiling |
|---|---|---|---|
| Light intensity | Light-dependent | Insufficient photons → reduced excitation of PSII/PSI → less ATP + NADPH | Increase irradiance (lamps, glasshouse design) |
| CO₂ concentration | Light-independent | Insufficient substrate for RuBisCO carboxylation → GP regeneration slows | Enrich glasshouse atmosphere (paraffin burners, gas injection to ~1000 ppm) |
| Temperature | Mainly light-independent (RuBisCO, kinases, dehydrogenases); also membrane fluidity | Below optimum: low collision frequency; above optimum: enzyme denaturation | Heating; ventilation; selecting heat-tolerant cultivars |
| Water | All stages (stomatal closure cuts off CO₂; cytoplasmic concentration affects enzyme activity) | Wilting → stomata close → CO₂ supply falls | Irrigation; mulching to reduce evaporative loss |
| Wavelength of light | Light-dependent | Green light poorly absorbed; red and blue absorbed strongly | Sodium lamps emit yellow–orange; LED grow lamps tuned to red + blue |
Light intensity from a point source falls off with the square of the distance:
I=4πd2P
Doubling the distance from a lamp therefore quarters the intensity, not halves it. When using the Elodea method with varying distances, you must record distance and apply the 1/d2 relationship if you want to plot rate against true light intensity rather than just against distance.
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