Researchers from Heidelberg University, led by Eva-Marie Metz, utilized GOSAT satellite data to analyze CO₂ concentrations in southern Africa. Their study focused on carbon flux variability and identified that photosynthesis driven by precipitation predominantly influences yearly variability, while seasonal soil respiration impacts in-year variations. The results emphasize the importance of accurately modeling respiratory pulses for future carbon dynamics projections in semi-arid regions.
Eva-Marie Metz and her colleagues from Heidelberg University conducted a study utilizing satellite measurements from GOSAT to analyze CO₂ concentrations across southern Africa from 2009 to 2018. Their research focused on understanding carbon flux variability and cycling processes within the region, utilizing global vegetation models (TRENDY). The findings reveal that year-to-year variability is primarily influenced by carbon uptake through photosynthesis in southern grasslands, largely driven by precipitation. Additionally, the fluctuations within a single year are significantly affected by soil respiration that occurs after rewetting at the beginning of the rainy season. These observations suggest that accurately modeling such respiratory pulses is essential for predicting carbon dynamics in semi-arid areas.
The investigation conducted by Eva-Marie Metz and her team highlights the importance of various factors influencing carbon flux variability in southern Africa. Their work underscores the need for effective modeling of photosynthesis and soil respiration in order to enhance predictions of carbon dynamics in semi-arid regions, particularly in light of precipitation patterns and seasonal changes. This research contributes valuable insight into the interactions between climate and carbon cycling processes.
Original Source: www.nature.com
