Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/6153
Título: Balanço de carbono em ecossistemas mediterrânicos
Outros títulos: Carbon balance in Mediterranean ecosystems
Autor: Correia, Alexandra Cristina Pires
Orientador: Pereira, João Santos
Palavras-chave: carbon balance
Pinus pinea
allometric models
soil respiration
Bayesian statistic
Cistus
Ulex
eddy covariance
upscaling
Mediterranean ecosystem
Data de Defesa: 2013
Editora: ISA
Citação: Correia, A.C.P. - Balanço de carbono em ecossistemas mediterrânicos. Lisboa: ISA, 2013, 89 p.
Resumo: Forests play an important role in climate change mitigation as they sequester and store carbon dioxide (CO2) from the atmosphere. The aim of this thesis was to investigate forest carbon balance in its main compartments: tress, understory and soils. We present methods to estimate carbon stock in biomass of stone pine stands in south Portugal. Allometric models, as well as conversion and expansion factors were presented allowing the quantification of stand carbon stocks irrespective of the inventory base information available for the site. The undercanopy vegetation of a cork oak montado represented 20% of the total carbon assimilated by the ecosystem during summer/autumn 2011. It was proven that the vegetation mosaic that naturally colonized the understory have contrasting strategies to efficiently use the limited environmental resources available like water and light. Soil CO2 efflux, resulted from plants and microorganisms respiration, is similar between forests, shrublands and grasslands. Soil moisture, more than temperature, is determinant in this process. We present several empirical models, validated and calibrated using the Bayesian statistics, which allows estimating monthly soil respiration in grasslands for the Mediterranean region.
Descrição: Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia
URI: http://hdl.handle.net/10400.5/6153
Aparece nas colecções:BISA - Teses de Doutoramento / Doctoral Thesis

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