Overview
Available information on global spatio-temporal patterns of fire incidence, derived from various satellite-derived datasets will be used to better constrain the performance of global fire models. Work will also be performed on deriving additional plant functional types (PFTs) considered particularly relevant for fire modeling (e.g. shrublands). The influence of mid-latitude droughts on fire activity will be assessed, in order to improve their mechanistic representation in global fire models
Program Description
Available information on global spatio-temporal patterns of fire incidence, derived from various satellite-derived datasets will be used to better constrain the performance of global fire models. Work will also be performed on deriving additional plant functional types (PFTs) considered particularly relevant for fire modeling (e.g. shrublands). The influence of mid-latitude droughts on fire activity will be assessed, in order to improve their mechanistic representation in global fire models.
This line of research will build upon work developed under GREENCYCLES I, on the relationships between large-scale climatic patterns and fire incidence, the anthropogenic fingerprint of global fire seasonality, and the improved specification of fire processes in a global dynamic vegetation model.
Preferential partners for this topic are the UK MetOffice and the Potsdam Institute for Climate Change, for the modeling and climatic analysis components, and CREAF, for collaboration in the development of new PFTs.
Examples of related previous research can be seen in:
Le Page, Y., D. Oom, J.M.N. Silva, P. Jönsson and J.M.C. Pereira (2009) Seasonality of vegetation fires as modified by human action: observing the deviation from eco-climatic fire regimes. Global Ecology and Biogeography. DOI: 10.1111/j.1466-8238.2010.00525.x.
Le Page, Y., J.M.C. Pereira, R. Trigo, C. da Camara, D. Oom, and B. Mota (2008) Global fire activity patterns (1996–2006) and climatic influence: an analysis using the World Fire Atlas. Atmospheric Chemistry and Physics, 8, 1911–1924.
Le Page, Y., G. Van der Werf, D. Morton and J.M.C. Pereira (accepted) Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions. Journal of Geophysical Research – Biogeosciences.
Le Page, Y., S. Venevsky and J.M.C. Pereira (under review). Global fire patterns and drivers: comparison of a DGVM-fire model with satellite derived observations. Global Change Biology.
Research Field
Environmental science
Benefits awarded
Salary* (subject to country-specific cost of living adjustment): €34,500/year plus mobility allowance (€500-€800/month depending on family circumstances); travel allowance (e.g. €750/year); career exploratory allowance (€2000); up to €600/month for participation in research and training activities
Application Deadline
01/06/2010
Instituto Superior de Agronomia
Academic
Lisbon
PORTUGAL
email jmocpereira@gmail.com
http://www.greencycles.org
Please kindly mention Scholarization.blogspot.com when applying for this opportunity
Available information on global spatio-temporal patterns of fire incidence, derived from various satellite-derived datasets will be used to better constrain the performance of global fire models. Work will also be performed on deriving additional plant functional types (PFTs) considered particularly relevant for fire modeling (e.g. shrublands). The influence of mid-latitude droughts on fire activity will be assessed, in order to improve their mechanistic representation in global fire models
Program Description
Available information on global spatio-temporal patterns of fire incidence, derived from various satellite-derived datasets will be used to better constrain the performance of global fire models. Work will also be performed on deriving additional plant functional types (PFTs) considered particularly relevant for fire modeling (e.g. shrublands). The influence of mid-latitude droughts on fire activity will be assessed, in order to improve their mechanistic representation in global fire models.
This line of research will build upon work developed under GREENCYCLES I, on the relationships between large-scale climatic patterns and fire incidence, the anthropogenic fingerprint of global fire seasonality, and the improved specification of fire processes in a global dynamic vegetation model.
Preferential partners for this topic are the UK MetOffice and the Potsdam Institute for Climate Change, for the modeling and climatic analysis components, and CREAF, for collaboration in the development of new PFTs.
Examples of related previous research can be seen in:
Le Page, Y., D. Oom, J.M.N. Silva, P. Jönsson and J.M.C. Pereira (2009) Seasonality of vegetation fires as modified by human action: observing the deviation from eco-climatic fire regimes. Global Ecology and Biogeography. DOI: 10.1111/j.1466-8238.2010.00525.x.
Le Page, Y., J.M.C. Pereira, R. Trigo, C. da Camara, D. Oom, and B. Mota (2008) Global fire activity patterns (1996–2006) and climatic influence: an analysis using the World Fire Atlas. Atmospheric Chemistry and Physics, 8, 1911–1924.
Le Page, Y., G. Van der Werf, D. Morton and J.M.C. Pereira (accepted) Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions. Journal of Geophysical Research – Biogeosciences.
Le Page, Y., S. Venevsky and J.M.C. Pereira (under review). Global fire patterns and drivers: comparison of a DGVM-fire model with satellite derived observations. Global Change Biology.
Research Field
Environmental science
Benefits awarded
Salary* (subject to country-specific cost of living adjustment): €34,500/year plus mobility allowance (€500-€800/month depending on family circumstances); travel allowance (e.g. €750/year); career exploratory allowance (€2000); up to €600/month for participation in research and training activities
Application Deadline
01/06/2010
Instituto Superior de Agronomia
Academic
Lisbon
PORTUGAL
email jmocpereira@gmail.com
http://www.greencycles.org
Please kindly mention Scholarization.blogspot.com when applying for this opportunity
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