Calibration of the maximum carboxylation velocity (Vc(max)) using data mining techniques and ecophysiological data from the Brazilian semiarid region, for use in Dynamic Global Vegetation Models

Author(s)

Rezende, L. F. C. ; Arenque-Musa, B. C. ; Moura, M. S. B. ; Aidar, S. T. ; Von Randow, C. ; Menezes, R. S. C. ; Ometto, J. P. B. H.

• Document type: Journal article
• Source: Brazilian Journal of Biology; v. 76, n. 2, p. 11-pg., 2016-04-01.

Abstract

The semiarid region of northeastern Brazil, the Caatinga, is extremely important due to its biodiversity and endemism. Measurements of plant physiology are crucial to the calibration of Dynamic Global Vegetation Models (DGVMs) that are currently used to simulate the responses of vegetation in face of global changes. In a field work realized in an area of preserved Caatinga forest located in Petrolina, Pernambuco, measurements of carbon assimilation (in response to light and CO2) were performed on 11 individuals of Poincianella microphylla, a native species that is abundant in this region. These data were used to calibrate the maximum carboxylation velocity (Vc(max)) used in the INLAND model. The calibration techniques used were Multiple Linear Regression (MLR), and data mining techniques as the Classification And Regression Tree (CART) and K-MEANS. The results were compared to the UNCALIBRATED model. It was found that simulated Gross Primary Productivity (GPP) reached 72% of observed GPP when using the calibrated Vc(max) values, whereas the UNCALIBRATED approach accounted for 42% of observed GPP. Thus, this work shows the benefits of calibrating DGVMs using field ecophysiological measurements, especially in areas where field data is scarce or non-existent, such as in the Caatinga. (AU)

• FAPESP's process: 09/52468-0 - Climate change impacts on the land cover and use in Pernambuco: data generation to subside public decisions
• Grantee: Jean Pierre Henry Balbaud Ometto
• Support Opportunities: Research Program on Global Climate Change - Thematic Grants