2022
DOI: 10.1021/acs.est.1c07994
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Dramatic Lockdown Fossil Fuel CO2 Decrease Detected by Citizen Science-Supported Atmospheric Radiocarbon Observations

Abstract: COVID-19 lockdowns resulted in dramatic changes to fossil fuel CO 2 emissions around the world, most prominently in the transportation sector. Yet travel restrictions also hampered observational data collection, making it difficult to evaluate emission changes as they occurred. To overcome this, we used a novel citizen science campaign to detect emission changes during lockdown and engage youth in climate science. Citizen scientists collected grass samples from their garden or local park… Show more

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Cited by 7 publications
(12 citation statements)
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“…The spatial sensitivity (“footprint”) of a plant is expected to be very localized (<100 m) but may vary for each sample depending on the local topography and air ventilation conditions. Previous work has shown that plants are predominantly influenced by emissions within 20–40 m (Lichtfouse et al., 2005 ; Turnbull et al., 2022 ). In contrast, atmospheric CO 2 measurements from rooftop/tower sites integrate signals over larger spatial scales (∼10 km) since the inlet is higher above the ground (Kort et al., 2013 ).…”
Section: Resultsmentioning
confidence: 98%
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“…The spatial sensitivity (“footprint”) of a plant is expected to be very localized (<100 m) but may vary for each sample depending on the local topography and air ventilation conditions. Previous work has shown that plants are predominantly influenced by emissions within 20–40 m (Lichtfouse et al., 2005 ; Turnbull et al., 2022 ). In contrast, atmospheric CO 2 measurements from rooftop/tower sites integrate signals over larger spatial scales (∼10 km) since the inlet is higher above the ground (Kort et al., 2013 ).…”
Section: Resultsmentioning
confidence: 98%
“…However, the localized spatial sensitivity of plants could be advantageous for studies seeking to investigate emissions at the neighborhood scale or from specific ffCO 2 sources (i.e., individual facilities or roads). Such analyses would require a strategic sampling design, targeting specific emission sources such as major roads (Turnbull et al., 2022 ). Without such targeted sampling, aggregated plant 14 C results in complex urban environments can be difficult to interpret since they represent highly local ffCO 2 emissions that may vary based on individual and immeasurable factors (i.e., human behaviors) within a neighborhood.…”
Section: Resultsmentioning
confidence: 99%
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“…This means that more 14 C samples can be analyzed leading to higher spatial resolution urban ffCO 2 datasets than with air samples. During COVID-19 lockdowns in New Zealand, the 14 C of weekly-sampled grasses tracked changes in local ffCO 2 emissions that coincided with the stringency of COVID-related restrictions and detected a 75% ± 3 peak reduction in ffCO 2 emissions (Turnbull et al, 2022).…”
Section: 1029/2022av000732mentioning
confidence: 94%