Blue carbon across a latitudinal gradient in Brazilian mangrove ecosystems
Methods will include direct ecological assessments of above ground biomass in mangrove and varzea ecosystems from north Brazil down to the south working with local partner organisations. Soil organic carbon assessments including 210Pb dating to assess carbon sequestration rates and stable isotope analyses to assess sources of carbon contributing to soil organic carbon stores and changes over time as well as inorganic carbon analysis to evaluate contributions from this source (recently highlighted as important for marine carbon dioxide removal). The project will also include the use of remote sensing (at least SENTINEL 2, but may also include SENTINEL 1, Landsat, Worldview, and Planet datasets) and machine learning mapping and modelling. This will be the first assessment of blue carbon across such a large scale in the southern hemisphere and Brazil has the second largest extent of mangroves in the world, data previously missing from global averages and highlighted as an important data gap in our global carbon accounting. This ecosystem service is vital for climate mitigation and is likely to be on the global agenda following the carbon crediting focus derived from COP29 in 2024.
The student will receive training in field data collection in mangrove ecosystems, all laboratory assessments and remote sensing and machine leaning modelling assessments via one to one instruction by the supervisory team.
This project could support careers in academia, NGOs, the private sector and government as this is a growing area of research (around carbon crediting and accounting and nature based solutions for climate change mitigation). NGO's are increasingly pushing for appropriate science driven assessments of carbon crediting systems to avoid greenwashing. Government agencies are looking to develop standardised methodologies for carbon crediting of marine and coastal ecosystems to put into their NDCs. The private sector are looking to develop systems to assess carbon crediting as this is set to be a multi billion dollar industry. Within academia the skills and methods (particularly around AI in environmental research) developed during the PhD are increasingly sought after by departments looking to integrate this into research and teaching.