Gross Primary Productivity of a High Elevation Tropical Montane Cloud Forest

M.J. van de Weg, P. Meir, M. Wiliams, C. Girardin, Y. Malhi, J.E. Silva Espejo, J. Grace

    Research output: Contribution to JournalArticleAcademicpeer-review


    For decades, the productivity of tropical montane cloud forests (TMCF) has been assumed to be lower than in tropical lowland forests due to nutrient limitation, lower temperatures, and frequent cloud immersion, although actual estimates of gross primary productivity (GPP) are very scarce. Here, we present the results of a process-based modeling estimate of GPP, using a soil-plant-atmosphere model, of a high elevation Peruvian TMCF. The model was parameterized with field-measured physiological and structural vegetation variables, and driven with meteorological data from the site. Modeled transpiration corroborated well with measured sap flow, and simulated GPP added up to 16.2 ± SE 1.6 Mg C ha
    Original languageEnglish
    Early online date8 Mar 2014
    Publication statusPublished - 2014


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