Bachelor thesis - Importance of GPP extremes in eddy covariance data

Background

The gross primary production (GPP) of an ecosystem, that is, the carbon it assimilates via photosynthesis, differs strongly from one year to the next. This variability between years is called the interannual variability (IAV) of GPP and the reasons for why GPP can change substantially from year to year are unclear. From a global scale analysis, we know that the seasonal cycles in precipitation and temperature in semi-arid ecoystems contribute substantially to the global IAV of GPP, highlighting the role of water and heat. We also know that even a few unusual hours in a total year can contribute disproportionately more to an ecosystems annual carbon uptake. For example, just 2% of unusually hot hours can account for ca. 10% of an ecosystems’ total annual GPP. Considering an increase in frequency and intensity of extreme events under climate change, a better quantification and characterisation of GPP extremes is crucial to estimate the future global carbon balance.

Aim

The goal of this project is to quantify the role of GPP extremes on an ecosystem’s carbon uptake, using FLUXNET data (half-hourly measured land-atmosphere exchange of carbon dioxide). The first aim is to identify years that show GPP extremes, that is, anomalies in their annual total GPP. Then, a suitable method to assess the effect of extreme days within these anomalous years on the year’s total GPP is explored by (e.g., using a Gini index). Further questions may cover investigating the difference across globally distributed sites or comparing observed against modelled GPP to identify the drivers of GPP extremes.

Requirements

• Most important: High motivation to work on questions related to land-atmosphere exchange and the carbon cycle - everything else can be learned!
• Confidence to work with large datasets of the terrestrial biosphere.
• Experience working with R or other data science tools are an advantage.
• The student writes the thesis in English.

Literature

• Ahlström A, Raupach MR, Schurgers G, Smith B, Arneth A, Jung M, Reichstein M, Canadell JG, Friedlingstein P, Jain AK, et al. 2015. The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink. Science 348: 895–899.
• Kannenberg SA, Bowling DR, Anderegg WRL. 2020. Hot moments in ecosystem fluxes: High GPP anomalies exert outsized influence on the carbon cycle and are differentially driven by moisture availability across biomes. Environmental Research Letters 15: 054004.
• Launiainen S, Katul GG, Leppä K, Kolari P, Aslan T, Grönholm T, Korhonen L, Mammarella I, Vesala T. 2022. Does growing atmospheric CO 2 explain increasing carbon sink in a boreal coniferous forest? Global Change Biology 28: 2910–2929.
• Wieder WR, Butterfield Z, Lindsay K, Lombardozzi DL, Keppel‐Aleks G. 2021. Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2). Global Biogeochemical Cycles 35.

Supervision

• Pascal Schneider
• Prof. Benjamin Stocker