A new type of sample unit for the efficient assessment of diverse tree communities in complex forest landscapes

cg.identifier.urlhttps://www.cifor-icraf.org/knowledge/publication/1190en
cg.journalJournal of Tropical Forest Scienceen
cg.subject.ciforBIODIVERSITYen
dc.contributor.authorSheil, Douglasen
dc.contributor.authorDucey, M.J.en
dc.contributor.authorSidiyasa, K.D.en
dc.contributor.authorSamsoedin, I.en
dc.date.accessioned2012-06-04T09:08:40Zen
dc.date.available2012-06-04T09:08:40Zen
dc.identifier.urihttps://hdl.handle.net/10568/18664
dc.titleA new type of sample unit for the efficient assessment of diverse tree communities in complex forest landscapesen
dcterms.abstractThe paper presents a new and versatile sample unit suitable for rapid assessments of tropical forest in heterogeneous areas. The method uses multiple applications of small and easy-to-apply variable subunits. Compared with any fixed-area approach the sample unit is quick and easy to apply even in difficult terrain, and the amount of information collected varies little with stem densities. This paper describes the method, discuss the nature of the resulting data and show how various stand characters can be calculated. The calculation of basic stand parameters from the sample data does not require any sophisticated analyses, and some worked examples are provided to ensure that the calculations are accessible. To demonstrate the statistical theory underlying this class of methods, and the good performance of the estimation methods, a more formal theoretical treatment is included as an appendix. The approach offers considerable promise for efficient forest assessments.en
dcterms.bibliographicCitationSheil, D., Ducey, M.J., Sidiyasa, K.D., Samsoedin, I. 2003. A new type of sample unit for the efficient assessment of diverse tree communities in complex forest landscapes . Journal of Tropical Forest Science 15 (1) :117-135.en
dcterms.extentp. 117-135en
dcterms.issued2003
dcterms.languageen
dcterms.subjectbiodiversityen
dcterms.subjectsurveysen
dcterms.subjectforest inventoriesen
dcterms.subjectmethodologyen
dcterms.subjecttropical forestsen
dcterms.subjectrapid methodsen
dcterms.typeJournal Article

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