Blog List

Wednesday, 17 August 2016

Sampling methods for titica vine (Heteropsis spp.) inventory in a tropical forest

Published Date
Volume 73, Issue 3, pp 757–764

Title 
Sampling methods for titica vine (Heteropsis spp.) inventory in a tropical forest

Author
  • Edson Vidal
  • Carlos Alberto Silva
  • Michelliny de M. Bentes
  • Andrew Thomas Hudak

Abstract

Key message

Titica vine provides useful raw fiber material. Using sampling schemes that reduce sampling error can provide direction for sustainable forest management of this vine. Sampling systematically with rectangular plots (10 × 25 mpromoted lower error and greater accuracy in the inventory of titica vines in tropical rainforest

Context

The titica vine (Heteropsis spp.) is an important raw material for native communities located in the Amazon tropical rainforest. However, variability and spatial distribution of this species are some factors that hinder the assessment of accurate productivity prediction, and thus, inventory methods for management plan must be defined.

Aims

The aim of this study was to develop and compare accuracy of different sampling approaches for the inventory of titica vines (roots ha−1) using simulations based on field data.

Methods

Eighty-eight treatments were defined by the combination of the process (random or systematic), sampling intensity (5, 10, 15, and 20 % of 18 ha), plot size (250 to 3000 m2) and shapes (square, rectangle, and transect). Production estimate, sampling error, and relative efficiency were used to compare treatments with each other and with the reference inventory.

Results

The mean production estimates for the random and systematic processes were 570 and 597 vine roots ha−1, while the reference estimate was 500 vine roots ha−1. Among of the treatments evaluated, only 5.8 % of them provided a sampling error less than 15 %.

Conclusion

The sampling procedure that combines systematic or random process, plots sizes of 250 or 300 m2 and sampling intensity greater than 15 % was the most efficient for inventory of titica vine in tropical forests.

Keywords

HeteropsisInventoryNon-timber forest productSimulationAraceaeHemiepiphyteRandom plotSampling schemeSystematic plotTropical forest

References

  1. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G (2013) Köppen’s climate classification map is Brazil. Meteorol Z 22:711–728. doi:10.1127/0941-2948/2013/0507CrossRef
  2. Amapá (2015) Resolução COEMA No. 13, 30/07/2009. http://www.sema.ap.gov.br/download/coema/resolucoes/13.pdf. Accessed 26 June 2015.
  3. Balcázar-Vargas MP, van Andel TR, Westers P, Zuidema PA (2015) What drives the vital rates of secondary hemiepiphytes? A first assessment for three species of Heteropsis(Araceae) in the Colombian Amazon. J Trop Ecol 31:251–265. doi:10.1017/S0266467415000115CrossRef
  4. Belcher B, Schreckenberg VK (2007) Commercialisation of non-timber forest products: a reality check. Dev Policy Rev 25:355–377. doi:10.1111/j.1467-7679.2007.00374.xCrossRef
  5. Bentes-Gama MM, Vieira AH, Rocha RB (2013) Ecological features of titica vine (Heteropsis flexuosa (Kunth) GS Bunting) in Rondônia State, Northwest Brazilian Amazon. An Acad Bras Cienc 85:1117–1125. doi:10.1590/S0001-37652013000300015CrossRef
  6. Boot RGA (1997) Extraction of non-timber forest products from tropical forests. Does diversity come at a price? Neth J Agric Sci 45:439–450
  7. Bruzinga JS, Oliveira MLR, Nogueira GS, Pereira IM, Leite HG, Machado ELM (2014) Sampling methods to quantify the Pequi Caryocar brasiliense Cambess adults. Ciênc Rural 44:1341–1347. doi:10.1590/0103-8478cr20130239CrossRef
  8. Cavalcanti FJB, Machado AS, Osokawa RT, Cunha US (2011) Comparison of the estimated values by sampling in the characterization of the structure of a forest area in the Amazon with the information recorded in forest census. Revista Árvore 35:1061–1068. doi:10.1590/S0100-67622011000600012CrossRef
  9. D'Eça-Neves FF, Morellato LPC (2004) Métodos de amostragem e avaliação utilizados em estudos fenológicos de florestas tropicais. Act Bot Bras 18:99–108. doi:10.1590/S0102-33062004000100009CrossRef
  10. Development Core Team R (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, http://www.R-project.org/. Accessed 22 January 2015
  11. Druszcz JP, Nakajima NY, Péllico Netto S, Yoshitani Junior M (2010) Comparação entre os métodos de amostragem de Bitterlich e de área fixa com parcela circular em plantação de Pinus taeda. Floresta 40:739–754. doi:10.5380/rf.v40i4.20326CrossRef
  12. Durigan CC, Castilho CV (2004) O extrativismo de cipós (Heteropsis spp., Araceae) no Parque Nacional do Jaú. In: Borges SH, Iwanaga S, Durigan CC, Pinheiro MR (eds) Janelas para a biodiversidade no Parque Nacional do Jaú: uma estratégia para o estudo da biodiversidade na Amazônia. Fundação Vitória Amazônica, Manaus, pp 231–245
  13. Evans TD, Viengkham OV (2001) Inventory time-cost and statistical power: a case study of a Lao rattan. For Ecol Manag 150:313–322. doi:10.1016/S0378-1127(00)00589-2CrossRef
  14. Fadima MG (2003) Fibers from the Forest: Mestizo, Afro-Ecuadorian and Chachi Ethnobotany of Piquigua (Heteropsis ecuadorensis, Araceae) and Mocora (Astrocaryum standleyanum, Arecaceae) in Northwestern Ecuador. Dissertation, University of Texas at Austin
  15. Ferreira MGR, Bentes-Gama MM (2004) Ecologia e formas de aproveitamento econômico do cipó-titica (Heteropsis flexuosa (H.B.K.) G.S. Bunting). Embrapa Rondônia, Porto Velho. https://www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/859448/1/doc95cipotitica.pdf. Accessed 31 October 2015
  16. Fick TA (2011) Amostragem para inventário florestal em sistemas silvipastoris. Rev Árvore 35:1033–1038. doi:10.1590/S0100-67622011000600009CrossRef
  17. Gama JRV, Botelho AS, Bentes-Gama MM, Scolforo JRS (2001) Tamanho de parcela e suficiência amostral para estudo da regeneração natural em floresta de várzea na Amazônia. Rev Cerne 7:1–11, http://www.redalyc.org/articulo.oa?id=74470201. Accessed 01 May 2015
  18. Hoffman B (1997) The biology and use of nibbi Heteropsis flexuosa (Araceae): the source of an aerial root fiber product in Guyana. Thesis, Florida International University
  19. Holmes TP, Blate GM, Zweede JC, Pereira R Jr, Barreto P, Boltz F, Bauch R (2002) Financial and ecological indicators of reduced impact logging performance in the eastern Amazon. For Ecol Manag 163:93–110. doi:10.1016/S0378-1127(01)00530-8CrossRef
  20. Husch B, Miller CI, Beers TW (1972) Forest mensuration, 2nd edn. The Ronald Press, New York
  21. IBGE (2001) Mapa de Solos do Brasil - Escala 1:5.000.000. Rio de Janeiro: IBGE. ftp://geoftp.ibge.gov.br/mapas_tematicos/geologia/unidades_federacao/pa_geologia.pdf. Accessed 20 april 2016
  22. IBGE (2004) Mapa de Biomas do Brasil, primeira aproximação. IBGE, Rio de Janeiro, http://www.ibge.gov.br. Accessed 25 June 2015
  23. Kleinn C, Laamanen R, Malla SB (1996) Integrating the assessment of non-wood forest products into the forest inventory of a large area: experiences from Nepal. In: Leakey RRB, Temu AB, Melnyk M, Vantomme P (eds) Domestication and commercialization of non-timber forest products in agroforestry systems.Proceedings of an International Conference held in Nairobi. FAO, Rome, pp 23–31, http://www.fao.org/3/a-w3735e.pdf. Accessed 31 January 2016
  24. Knab-Vispo C, Hoffmann B, Moermond T, Vispo C (2003) Ecological observations on Heteropsis spp. (Araceae) in Southern Venezuela. Econ Bot 57:345–353. doi:10.1663/0013-0001(2003)057[0345:EOOHSA]2.0.CO;2CrossRef
  25. Krebs CJ (1999) Ecological methodology, 2nd edn. Addison Wesley Longman, Menlo Park
  26. Oliveira J, Potiguara RCV, Lobato LCB (2006) Fibras vegetais utilizadas na pesca artesanal na microrregião do Salgado. Pará Bol Mus Para Emílio Goeldi Ciênc hum 1:113–127. doi:10.1590/S1981-81222006000200009
  27. Péllico Netto S, Brena DA (1997) Inventário florestal. UFPR, Curitiba
  28. Phillips OL, Martinez RV, Vargas PN, Monteagudo AL, Zans MEC, Sanchez WG, Cruz AP, Timana M, Yli-Halla M, Rose S (2003) Efficient plot-based floristic assessment of tropical forests. J Trop Ecol 19:629–645. doi:10.1017/S0266467403006035CrossRef
  29. Piqué M, Berta Obon SC, Santiago S (2011) Comparison of relascope and fixed-radius plots is the estimation of forest stand variables in northeast Spain: an inventory simulation approach. Eur J For Res 130:851–859. doi:10.1007/s10342-010-0477-xCrossRef
  30. Plowden C, Uhl C, Oliveira FA (2003) The ecology and harvest potential of titica vine roots (Heteropsis flexuosa: Araceae) in the Eastern Brazilian Amazon. For Ecol Manag 182:59–73. doi:10.1016/S0378-1127(03)00030-6CrossRef
  31. Scipioni MC, Alves CG, Durigan CC, Morais MLCS (2012) Exploração e manejo do cipó-titica (Heteropsis spp.). Ambiência 8:139–153. doi:10.5777/ambienciaCrossRef
  32. Shanley P, Medina G (2005) Fruit trees and useful plants in Amazonian life. CIFOR, Embrapa Amazônia Oriental, Imazon, Belém, http://www.fao.org/docrep/015/i2360e/i2360e.pdf. Accessed 21 January 2015
  33. Silva GF, Xavier AC, Rodrigues FL, Peternelli LA (2007) Análise da influência de diferentes tamanhos e composições de amostras no ajuste de uma relação hipsométrica para Eucalyptus grandis. Rev Árvore 31:685–694. doi:10.1590/S0100-67622007000400013
  34. Soares ML, Mayo SJ, Croat TB, Gribel R (2009) Two new species and a new combination in Amazonian Heteropsis (Araceae). Kew Bull 64:263–270. doi:10.1007/s12225-009-9113-7CrossRef
  35. Stockdale MC, Wright HL (1996) Rattan inventory: determining plot shape and size. In: Edwards DS, Booth WE, Choy SC (eds) Tropical rainforest research - current issues. Kluwer Academic Publishers, The Netherlands, pp 523–533CrossRef
  36. Tonini H (2013) Amostragem para a estimativa de produção de sementes de castanheira-do-brasil em floresta nativa. Pesq Agropec Bras 48:519–527. doi:10.1590/S0100-204X2013000500008CrossRef
  37. Ubialli JA, Figueiredo Filho A, Machado AS, Arce JE (2009) Comparação de métodos e processos de amostragem para estudos fitossociológicos em uma floresta ecotonal na região norte matogrossense. Floresta 39:511–523. doi:10.1590/S0044-59672009000200009
  38. Wong JLG, Thornber K, Baker N (2000) Non-wood forest products 13: resource assessment of non-wood forest products. Experience and biometric principles. FAO, Rome, http://www.fao.org/docrep/018/y1457e/y1457e.pdf. Accessed 31 January 2016
  39. y Paz MCG, Balslev H, Valencia R (1995) Useful lianas of the Siona-Secoya Indians from Amazonian Ecuador. Econ Bot 49:269–275. doi:10.1007/BF02862346CrossRef
  40. Zar JH (1999) Biostatistical analysis, 4th edn. Prentice-Hal, New Jersey

For further details log on website :
http://link.springer.com/article/10.1007/s13595-016-0565-2

No comments:

Post a Comment

Advantages and Disadvantages of Fasting for Runners

Author BY   ANDREA CESPEDES  Food is fuel, especially for serious runners who need a lot of energy. It may seem counterintuiti...