Scientific research.
All measurements in the whole Amazon basin - Aerial Rivers Project - that led to scientific assessment report "The Future Climate of Amazonia"by Prof. Antonio Donato Nobre.
Or the hundreds of sensors to monitor the significant percentages of natural H2 coming from the underground, the subsurface, installed in the Brazilian São Francisco river basin by a French energy company.
And now we hear more about Free Air CO2 Enrichment studies. Or simply FACE, a technique developed by Brookhaven National Laboratory in United States, for use in agriculture, modifying the surrounding environment of growing plants in a way that replicates different levels of atmospheric CO2 concentrations.
Two interesting ongoing FACE projects, seeking to undestand the climate change response to. One involving vegetables and grapevines in Germany and the other in Brazil, at the world’s largest tropical forest, the Amazon
In Germany, scientists of several partner Institutes working at Hochschule Geisenheim University are examining the effects of increased CO2 concentration, under different levels of water supply, on cultivation and product quality of the Riesling and Cabernet Sauvignon grapevines and vegetables such as spinach, radishes and cucumbers. Impact on soils, physiology, yield and interactions between plants and pests is also being monitored. Click here to read more and see some pictures.
In Brazil, led by the Instituto Nacional de Pesquisas da Amazônia, and partnering with UNICAMP, FAPESP and FINEP, among others, including the British government, a project using the same FACE technique to probe more acurately the Amazon forest's ability to sequester CO2. Situated 70 km north of Manaus, the monitoring infrustructure is composed by a six-ring complex of towers, 3 of which are treatment, with an atmosphere enriched, that'll spray CO2 mist into the air, and the other 3 rings are control, with ambient air aspersion, that is, without increasing the atmospheric concentration of CO2 . It should be fully operational by mid-2024 and integrated with computational vegetation models from the beginning of the experiment, to formulate hypotheses and then use field data to better parameterize and evaluate projections derived from these models.
Click at the image below to navigate at this important projects' portal.
