Determining the optimal harvest cycle for copaíba (Copaifera spp.) oleoresin production

Carine Klauberg, Edson Vidal, Luiz C.E. Rodriguez and Luis Diaz-Balteiro

Agricultural Systems, 2014, vol. 131, issue C, 116-122

Abstract: Copaíba oleoresin is a medicinal product obtained from several species of Copaifera trees (Copaifera spp.), and it is used for its healing and anti-inflammatory properties. Oleoresin is extracted via holes drilled into the trunks of copaíba trees, which are then plugged and periodically harvested in repeated cycles. To date, the optimal harvesting cycle and the factors that influence oleoresin production are unknown. Therefore, the main objective of this study was to analyze various harvesting schedules to determine the optimal cycle in an attempt to obtain maximum oleoresin production or the maximum net present value associated with production. The study took place in Paragominas, Pará (Brazil), and based on the resulting data, a set of alternatives for 1- to 5-year cycles with a planning horizon of 10years was created. The data were analyzed within two different contexts: a deterministic one and another scenario that assumed that certain variables exhibit non-deterministic behavior for which a Monte Carlo simulation was used. Based on the available data, three scenarios were proposed that differed according to the hypotheses employed to estimate production for years when no measurements are available. The results show that, regardless of the various contexts and scenarios, the optimal harvesting cycle for copaíba oleoresin is three years, which is consistent with some previously published recommendations. Finally, the opportunity cost of not choosing the optimal cycle does not seem to be very high.

Keywords: Non-timber forest product; Monte Carlo simulation; Copaifera; Amazonia (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:131:y:2014:i:c:p:116-122

DOI: 10.1016/j.agsy.2014.07.007

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