Read each question carefully. Write your response in the space provided for each part of each question. Answers must be written out in paragraph form. Outlines, bulleted lists, or diagrams alone are not acceptable and will not be scored.
Scientists studied soybean plants grown in sunlit, controlled-environment chambers with a carbon dioxide
concentration of μ
of air. The
concentration in the chambers was approximately double that of normal concentrations of environmental
.
Photosynthetic rate is measured by the amount of
exchanged in an area of leaf surface over time. The rate is directly influenced by the activity of the plant enzyme rubisco. During photosynthesis, rubisco fixes atmospheric carbon into an organic molecule as one of the first steps in the Calvin cycle.
Scientists measured the amount of carbon fixation that occurred in the leaves of soybean plants grown at each temperature shown in Table
.
Table
. Carbon Fixation by Rubisco Under Different Temperatures
Temperature (
) Carbon Fixation
μ
(a) Describe the effect on an enzyme of an increase in environmental temperature above the optimum temperature range of the enzyme.
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Question 2
(b) Using the template in the space provided for your response, construct an appropriately labeled graph to represent the data in Table
. Determine whether there is a statistical difference in the amount of
fixed by rubisco at
and
.
The figure presents a 25 by 25 square grid.
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Question 3
(c) Based on the data, identify the temperature range at which the soybean leaves are producing the lowest amount of carbohydrate.
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Question 4
(d) Increased amounts of carbon dioxide in the atmosphere are correlated with increased global surface temperatures. Based on the data, predict how a surface temperature that continues to rise above
most likely affects the amount of energy available to primary consumers in an ecosystem. Provide reasoning to justify your prediction. One model predicts that an increase in greenhouse gases will lead to a
increase in average surface temperature on Earth. Based on the data from the experiment and the prediction of an increase in average surface temperature by the model, predict how the locations of plant species are expected to change over time.
