Scientists studied what caused leaf shedding in a drought deciduous (=shedding leaves during the dry season) subtropical species. They quantified the quantum yield (=efficiency) of the PSII complex and the leaf hydraulic conductance (=efficiency of leaf water movement) in leaves of that species during the wet to dry transition Explain the results in the context of what could drive leaf shedding in this species? Figure 1. Changes in leaf hydraulic

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Scientists studied what caused leaf shedding in a drought deciduous (=shedding leaves during the dry season) subtropical species. They quantified the quantum yield (=efficiency) of the PSII complex and the leaf hydraulic conductance (=efficiency of leaf water movement) in leaves of that species during the wet to dry transition

Explain the results in the context of what could drive leaf shedding in this species?

Figure 1. Changes in leaf hydraulic conductance during the wet and dry season transition of a subtropical species

This graph illustrates the relationship between leaf hydraulic conductance and PSII quantum yield. The x-axis represents leaf hydraulic conductance measured in mmol m⁻² s⁻¹ MPa⁻¹, ranging from 0 to 20. The y-axis depicts PSII quantum yield, ranging from 0.00 to 0.30.

Data points are marked with black circles, indicating individual measurements. Each data point includes error bars representing variability or uncertainty in both the x and y values.

A trend line is plotted through the data, showing a positive relationship between leaf hydraulic conductance and PSII quantum yield. As hydraulic conductance increases, PSII quantum yield also tends to increase, indicating a correlation between the two variables.

This graph can be used to understand how variations in hydraulic conductance impact the photosynthetic efficiency of leaves, as measured by PSII quantum yield.
Transcribed Image Text:This graph illustrates the relationship between leaf hydraulic conductance and PSII quantum yield. The x-axis represents leaf hydraulic conductance measured in mmol m⁻² s⁻¹ MPa⁻¹, ranging from 0 to 20. The y-axis depicts PSII quantum yield, ranging from 0.00 to 0.30. Data points are marked with black circles, indicating individual measurements. Each data point includes error bars representing variability or uncertainty in both the x and y values. A trend line is plotted through the data, showing a positive relationship between leaf hydraulic conductance and PSII quantum yield. As hydraulic conductance increases, PSII quantum yield also tends to increase, indicating a correlation between the two variables. This graph can be used to understand how variations in hydraulic conductance impact the photosynthetic efficiency of leaves, as measured by PSII quantum yield.
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