| 1 | <p>This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be correlated with changes in productivity. In Part A, students reflect on how nitrogen and phosphorous are distributed globally, and how patterns of primary productivity compare with those nutrient patterns. In Part B, students use statistical analysis to examine the influence of dust-borne iron on carbon export in two ocean regions. In Part C, students choose a data set to investigate the relationship between ocean carbon export and climate, formulate a hypothesis to test using that data set, and share their findings with peers who chose a different data set.</p>
| 1 | <p>Students first explore maps of the modern concentration of macronutrients (N and P), of the Redfield ratio, and of chlorophyll in the world oceans to identify the high nutrient low chlorophyll areas. Subsequently, they work with paleodatasets on productivity from the Southern Ocean and from the Equatorial Pacific, atmospheric pCO2 from ice core bubbles, benthic foraminifera oxygen isotope ratios, authigenic Uranium to investigate connections between ocean productivity, atmospheric chemistry, temperature, and ice volume at glacial-interglacial timescales. Students focus on developing hypothesis about these connections, on creating scatter and time-series plots, on comparing datasets, and on calculating correlation coefficients and p-values.</p> |
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| 11 | <p>This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be correlated with changes in productivity. In Part A, students reflect on how nitrogen and phosphorous are distributed globally, and how patterns of primary productivity compare with those nutrient patterns. In Part B, students use statistical analysis to examine the influence of dust-borne iron on carbon export in two ocean regions. In Part C, students choose a data set to investigate the relationship between ocean carbon export and climate, formulate a hypothesis to test using that data set, and share their findings with peers who chose a different data set.</p>
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