A proposed methodology for the correction of the Leaf Area Index measured with a ceptometer for pinus and eucalyptus forests = Proposta de uma methodologia para a correcao do indice de area foliar medido pelo ceptometro em provoamentos de pinus e eucalyptus

  • Domingos Mendes Lopes
  • , Nigel Walford
  • , Helder Viana
  • , Carlos Roberto Sette Junior

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    Leaf area index (LAI) is an important parameter controlling many biological and physiological processes associated with vegetation on the Earth's surface, such as photosynthesis, respiration, transpiration, carbon and nutrient cycle and rainfall interception. LAI can be measured indirectly by sunfleck ceptometers in an easy and non-destructive way but this practical methodology tends to underestimated when measured by these instruments. Trying to correct this underestimation, some previous studies heave proposed the multiplication of the observed LAI value by a constant correction factor. The assumption of this work is LAI obtained from the allometric equations are not so problematic and can be used as a reference LAI to develop a new methodology to correct the ceptometer one. This new methodology indicates that the bias (the difference between the ceptometer and the reference LAI) is estimated as a function of the basal area per unit ground area and that bias is summed to the measured value. This study has proved that while the measured Pinus LAI needs a correction, there is no need for that correction for the Eucalyptus LAI. However, even for this last specie the proposed methodology gives closer estimations to the real LAI values.
    Original languageEnglish
    Pages (from-to)845-854
    JournalRevista Arvore
    Volume40
    Issue number5
    DOIs
    Publication statusPublished - 2016

    Bibliographical note

    Note: Article published from doctoral research of Dr Lopes carried out at Kingston Univesity

    Keywords

    • Biological sciences
    • LAI bias
    • LAI underestimation
    • basal area
    • clumping

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