Can you predict the pattern of light availability and nutrients based on the primary productivity data in the Southern Hemisphere Polar Pacific Ocean?
Explore the data below to see what you can observe about how primary productivity varies over three years.
Use your cursor to draw your prediction of how light availability would vary over the same time frame.
Take a look at the above chart. Use your mouse to draw your prediction for what the rest of the Irradiance dataset should look like. After you have made your estimate, click the "Check Prediction" box.
Use your cursor to draw your prediction of how nutrient concentration would vary over the same time frame.
Take a look at the above charts. Use your mouse to draw your prediction for what the rest of the Nitrate dataset should look like. After you have made your estimate, click the "Check Prediction" box.
Unfortunately, due to an instrument issue, we do not have a complete record of nitrate data for this location. However, based on what you can see from the relationship between chlorophyll and nitrate for the periods where we do have data, can you explain your reasoning for your prediction?
When the site loads, the graph for Variable 1 - Light will show the chlorophyll a concentration dataset from the Global Southern Ocean Apex surface Mooring from December 2015 to October 2019. On the graph below, the light availability for December 2018 to October 2019 is also shown.
When the site loads, the graph for Variable 2 - Nutrients will show the chlorophyll a concentration dataset from the Global Southern Ocean Apex surface Mooring from December 2015 to October 2019. On the graph below, the nutrient concentration for December 2018 to October 2019 is also shown.
Click on the images below to learn more about where and how the dataset above was collected.
The data for this activity was obtained from the following instruments on the Global Souther Ocean Surface Mooring.
Telemetered datasets were downloaded from the OOI data portal, and then daily (mean) averages of temperature, salinity, chlorophyll-a, salinity-corrected-nitrate and downwelling spectral irradiance were calculated and merged together into a single file.
See this Jupyter Notebook for details on how the data for this activity was processed.
Activity Citation: Anastasia, J., DiSantis, D., Iacchei, M., & Lichtenwalner, C. S. (2020). Factors Affecting Primary Production. OOI Data Labs Collection.