%0 Journal Article
%@nexthigherunit 8JMKD3MGPCW/43SRFME
%@nexthigherunit 8JMKD3MGPCW/46JKC45
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@archivingpolicy denypublisher denyfinaldraft
%@dissemination WEBSCI; PORTALCAPES.
%@secondarytype PRE PI
%@issn 1466-822X
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JGQ7
%@usergroup administrator
%@usergroup deicy@cptec.inpe.br
%3 cardoso_long-term.pdf
%X Aim  This study aims to improve the formulation and results of the Brazilian Center for Weather Forecasting and Climate Studies Potential Vegetation Model (CPTEC-PVM) by developing a new parameterization for the long-term occurrence of fire in regions of potential savannas in the tropics. Compared with the relatively slow processes of carbon uptake and growth in vegetation, fast mortality and biomass consumption by fires may favour grasses and reduce tree coverage. Location  The tropics. Methods  For finding large-scale relationships between fires and other environmental factors, we made two main simplifying assumptions. First, lightning is the most important source of ignition for natural fires. Second, over continental areas in the tropics, lightning is mainly related to the zonal flux of moisture transport. Results  The parameterization of fire occurrence was built based on a simple empirical relationship, combining information on mean and intra-annual variance of the zonal wind. Main conclusions  The implementation of this new relationship improved the formulation and the results of the CPTEC-PVM. As a result of this new parameter, the accuracy of the model in allocating the correct vegetation (seasonal forests) instead of savannas for large regions in India and Southeast Asia is now substantially higher than in previous studies..
%8 mar
%N 2
%T Long-term potential for fires in estimates of the  occurrence of savannas in the  tropics
%K biome, CPTEC-PVM, dry forest, fire, savanna, vegetation model.
%@visibility shown
%@group DMA-CPT-INPE-MCT-BR
%@group DMA-CPT-INPE-MCT-BR
%@group SSS-CPT-INPE-MCT-BR
%@group
%@group DMA-CPT-INPE-MCT-BR
%@e-mailaddress deicy@cptec.inpe.br
%( sid.inpe.br/mtc-m17@80/2007/09.26.18.18
%@secondarykey INPE--PRE/
%2 sid.inpe.br/mtc-m17@80/2008/04.09.13.34.49
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto de Aeronáutica e Espaço- CTA
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)
%B Global Ecology and Biogeography
%P 222-235
%4 sid.inpe.br/mtc-m17@80/2008/04.09.13.34
%D 2008
%V 17
%@doi 10.1111/j.1466-8238.2007.00356.x
%@progress ePrint update
%A Cardoso, Manoel Ferreira,
%A Nobre, Carlos Afonso,
%A Lapola, David  Montenegro,
%A Oyama, Marcos D.,
%A Sampaio, Gilvan,
%@area MET