Litter production in a natural stand of Brazil nut trees (Bertholletia excelsa Bonpl.).

• Autor(a) principal: GUERREIRO, Q. L. de M.
• Data de Publicação: 2018
• Outros Autores: OLIVEIRA JUNIOR, R. C. de, RUIVO, M. de L. P., SILVA, K. E. da, BELDINI, T. P., GUEDES, M. C., MOTA, A. F. L., MORAES, B. L. T. de, SANTOS, P. R. B., DUIN, I. M.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1087259
• topic: Castanha-do-brasil; Lixo; Meio Ambiente; Produção

This research estimated litter production and analyzed its relation to environmental variables such as maximum temperature, insolation, and rainfall. The study was conducted on a 300 × 300 m experiment as part of the project titled mapping of native Brazil nut stands and socio-environmental and economic characterization of Brazil nut production systems (MapCast), in the Tapajós National Forest (FLONA Tapajós). Every 30 days for one full year (August 2015 to July 2016), litterfall was collected and stored in a laboratory. After drying, the material was separated into leaves, wood, flowers and fruits, and miscellaneous and weighed. Statistical tests conducted were Shapiro-Wilk (5%), Principal coordinate analysis, t-test, Pearson?s linear correlation, cross-correlation, and canonical redundancy analysis. Rainfall and temperature data were inferior and superior, respectively, to normal climate conditions in the region, and data for solar insolation had an abnormal pattern compared to normal climate conditions. Leaf production varied between 169.9 and 965.6 kg ha-1 month-1, and that of wood between 26.7 and 501.3 kg ha-1 month-1, while that for flowers and fruit varied from 0.6 to 19.6 kg ha-1 month-1. The greatest leaf production was measured during the months with the lowest amount of rainfall and highest temperatures, and variation in leaf production and total litterfall was partially explained by temperature and insolation.