Literature DB >> 19197495

Diurnal and seasonal carbon balance of four tropical tree species differing in successional status.

G M Souza1, R V Ribeiro, A M Sato, M S Oliveira.   

Abstract

This study addressed some questions about how a suitable leaf carbon balance can be attained for different functional groups of tropical tree species under contrasting forest light environments. The study was carried out in a fragment of semi-deciduous seasonal forest in Narandiba county, São Paulo Estate, Brazil. 10-month-old seedlings of four tropical tree species, Bauhinia forficata Link (Caesalpinioideae) and Guazuma ulmifolia Lam. (Sterculiaceae) as light-demanding pioneer species, and Hymenaea courbaril L. (Caesalpinioideae) and Esenbeckia leiocarpa Engl. (Rutaceae) as late successional species, were grown under gap and understorey conditions. Diurnal courses of net photosynthesis (Pn) and transpiration were recorded with an open system portable infrared gas analyzer in two different seasons. Dark respiration and photorespiration were also evaluated in the same leaves used for Pn measurements after dark adaptation. Our results showed that diurnal-integrated dark respiration (Rdi) of late successional species were similar to pioneer species. On the other hand, photorespiration rates were often higher in pioneer than in late successional species in the gap. However, the relative contribution of these parameters to leaf carbon balance was similar in all species in both environmental conditions. Considering diurnal-integrated values, gross photosynthesis (Pgi) was dramatically higher in gap than in understorey, regardless of species. In both evaluated months, there were no differences among species of different functional groups under shade conditions. The same was observed in May (dry season) under gap conditions. In such light environment, pioneers were distinguished from late successional species in November (wet season), showing that ecophysiological performance can have a straightforward relation to seasonality.

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Year:  2008        PMID: 19197495     DOI: 10.1590/s1519-69842008000400012

Source DB:  PubMed          Journal:  Braz J Biol        ISSN: 1519-6984            Impact factor:   1.651


  1 in total

1.  Individual-scale inference to anticipate climate-change vulnerability of biodiversity.

Authors:  James S Clark; David M Bell; Matthew Kwit; Anne Stine; Ben Vierra; Kai Zhu
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-01-19       Impact factor: 6.237

  1 in total

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