title: Testing arbitrary classes of light in a physiognomically heterogeneous area of "campo rupestre" vegetation.
abstract: The Brazilian "campo rupestre" vegetation shows high light heterogeneity, characteristic which is often disregarded in ecophysiological studies due the difficult of obtaining accurate measurements in a complex environment. The aim of the present study it was to describe how much heterogeneous is the light distribution in this environment, as well as tried to define classes in relation to the photosynthetically active radiation (PAR) for 30 rupicolous individuals of Bulbophyllum involutum. The individuals were marked and previously classified in light classes visually predetermined ("full sun", "partially shaded" and "shaded"). Once defined these classes, principal component analysis, cluster and dispersal analyses using direct and indirect PAR measures were performed to characterize the environment as well as to validate the inclusion of the individuals in each class. The use of multivariate analysis increased the accuracy of predetermined classes of light, and some individuals from "shaded" and "partially shaded" classes needed to be regrouped. After individuals' reclassification, amplitude of PAR variance was reduced in each class, enhancing homogeneity. Ours results show the possibility to evaluate light environment conditions more precisely in "campo rupestre" vegetation using multivariate analysis, allowing the increase in accuracy of this parameter for ecophysiological researches.
authors.affiliation: Instituto de Biologia, Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil.
authors.forename: Ana S F P
authors.initials: AS
authors.lastname: Moreira
authors.forename: Eduardo L
authors.initials: EL
authors.lastname: Borba
authors.forename: José P
authors.initials: JP
authors.lastname: Lemos-Filho
mesh_terms: D017753:Ecosystem; D015999:Multivariate Analysis; D029595:Orchidaceae / Q000254:growth & development*; D010788:Photosynthesis / Q000502:physiology*; D025341:Principal Component Analysis; D013472:Sunlight