Caring about the future

Bruna R F Oliveira

Bruna R F Oliveira


  • Nome de Autor : Oliveira B.

  • Researcher ID: C-2204-2019
  • ORCID: 0000-0001-5877-8614
  • Ciencia ID: 7C1E-9E13-80F3
  • Departamento: Ambiente e Ordenamento
  • Grupo de Investigação: Socio-Ecological Systems Analysis, Management & Planning (SES)
  • ISI Web of KnowledgeSM search factor: Oliveira, Bruna R. F.; Oliveira, Bruna; Oliveira, B.

Interesses de investigação

Modeling carbon and water fluxes of recovering ecosystems.
Remote sensing (satellite and UAV) of vegetation indices.
Eddy covariance method.
Ecosystem CO2 and H2O fluxes.
Soil respiration.
Ecosystem restoration using organic resources.

Graus académicos

2017 - PhD in Environmental Technology - Wageningen University, The Netherlands.
2009 - MSc in Environmental Engineering - University of Aveiro, Portugal.

Atividades científicas

2021 - present: Researcher, project ModelEco @ CESAM - DAO
2018 - 2021: Researcher, project LIFE REFOREST @ CESAM - DAO
2016 - 2018: Researcher, project FIRE C-BUDs @ CESAM - DAO
2009 - 2011: Research Assistant @ DAO


PI of ModelEco

Co-leader of WG4 of SENSECO Cost Action



RESTORE4C - Modelling RESTORation of wEtlands for Carbon pathways, Climate Change mitigation and adaptation, ecosystem services, and biodiversity, Co-benefits Ver mais

TRUESOIL - True SOC sequestration: understanding trade-offs and dynamic interactions between SOC stocks and GHG emissions for climate-smart agri-soil management Ver mais

SOILCOMBAT - Engenharia da função de esponja dos solos portugueses de pastagem para combater de forma sustentável a desertificação Ver mais

ModelEco - Modelação de fluxos de ecossistemas com tempo após incêndio com base em deteção remota de índices de vegetação e parâmetros meteorológicos Ver mais


FIRE-C-BUDs - Efeitos indiretos de incêndios florestais nos fluxos e no balanço de carbono Ver mais

Orientações científicas

Cost Action SENSECO

Cost Action SENSECO

Co-Proponent of the Action SENSECO - Optical synergies for spatiotemporal sensing of scalable ecophysiological traits.

Vice-leader of WG4: Establishing data quality through traceability and uncertainty.

Scientific path - short CV

Following initial research activities after my Environmental Engineering MSc at UAVR, I decided to seek opportunities to do a PhD abroad to enrich my academic and personal formation. I found an outstanding opportunity, for being at one of the top European universities, WUR, and for being focused on identifying and testing solutions for an environmental engineering problem of greatest relevance for low-lying countries, i.e., land subsidence.  

Returning to Portugal at the end of my PhD, I joined the FIRE-C-BUDs (FCB) project, to become responsible for the coordination of the field team, operation of the field site (including flux tower and soil respiration (SR) network), and analysis of the eddy-covariance (EC) data. Not only has the flux site been producing high-quality data since 2017, but also I learnt to process and analyse post-fire EC data.

After the official end of FCB (but continuing the main tasks), I applied the expertise and skills acquired during my PhD to assess the potential of the LIFE REFOREST geotubes and its mycotechnosoil to foster post-fire soil restoration. To this end, I designed and coordinated a combined lab and field study in a 2019-burnt eucalypt plantation. The study compared the effects of the mycotechnosoil on SR and key soil properties with those of 3 other treatments, i.e., eucalypt logging residue, a commercial soil amendment, and sediments dredged from a lagoon. 

In 2020 I got a FCT-project funded as PI, ModelEco, with the objetive of developing a global model to simulate post-fire Gross Primary Production and evapotranspiration based on RS-VI.

Financiamento do CESAM: UIDP/50017/2020 + UIDB/50017/2020 + LA/P/0094/2020


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