dc.creatorMello, Anabel Aparecida de
dc.creatorNutto, Leif
dc.creatorWeber, Karla Simone
dc.creatorSanquetta, Carlos Roberto
dc.creatorMatos, Jorge Luis Monteiro de
dc.creatorBecker, Gero
dc.date2014-08-18T21:29:01Z
dc.date2014-08-18T21:29:01Z
dc.date2012
dc.date.accessioned2023-09-28T23:08:26Z
dc.date.available2023-09-28T23:08:26Z
dc.identifierMELLO, A. A. et al. Individual biomass and carbon equations for mimosa scabrella benth.(bracatinga) in southern Brazil. Silva Fennica, Helsinki, v. 46, n. 3, 2012. Disponível em: <http://www.metla.fi/silvafennica/full/sf46/sf463333.pdf>. Acesso em: 18 ago. 2014.
dc.identifier0037-5330
dc.identifierhttps://ri.ufs.br/handle/riufs/1047
dc.identifierCopyrights Finnish Society of Forest Science - The Finnish Forest Research Institute
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9085095
dc.descriptionMimosa scabrella Benth. is an important native species of southern Brazil widely used for energy and promising for reforestation carbon offsets. Quantification of biomass and carbon stock is valuable for both purposes. From a forest inventory conducted in southern Brazil, data of M. scabrella were analyzed. Thirty sample trees were felled, excavated and weighed in the field and brought to laboratory for biomass and carbon determination. The total aboveground biomass represented 85% of the tree biomass, while roots corresponded to 15%. Correlation matrix of diameter at 1.3 m height (D), tree height (H) versus total and compartment biomass (P) indicated strong association between tree dimensions and biomasses. Five regression models were tested and equations were fitted to data of five biomass compartments and total tree biomass. The best fitting model for total biomass was P = –0.49361 + 0.034865 × D2H whereas for the partial biomass of the compartments was lnP = β0 + β1 × ln(D) + β2 lnH. Carbon concentration was statistically significantly different in foliage than in other compartments. Three approaches of calculating carbon stocks were evaluated and compared to actual data: 1) Estimated total biomass × weighted mean carbon concentration; 2) Estimated partial (compartment) biomass × compartment average carbon concentration; and 3) Carbon regression equations. No statistical difference was detected among them. It was concluded that biomass equations fitted in this study were accurate and useful for fuelwood and carbon estimations.
dc.formatapplication/pdf
dc.languageen
dc.publisherThe Finnish Society of Forest Science - The Finnish Forest Research Institute
dc.subjectCarbon offsets
dc.subjectForest inventory
dc.subjectFirewood
dc.subjectModeling
dc.subjectTree compartments
dc.titleIndividual biomass and carbon equations for mimosa scabrella benth
dc.typeArtigo


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