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Titolo:
Power analysis and sustainable forest management
Autore:
Di Stefano, J;
Indirizzi:
Forest Sci Ctr, Creswick 3363, Australia Forest Sci Ctr Creswick Australia 3363 Sci Ctr, Creswick 3363, Australia
Titolo Testata:
FOREST ECOLOGY AND MANAGEMENT
fascicolo: 1-2, volume: 154, anno: 2001,
pagine: 141 - 153
SICI:
0378-1127(20011115)154:1-2<141:PAASFM>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
STATISTICAL POWER; CENTRAL HIGHLANDS; HABITAT REQUIREMENTS; FUTURE-DIRECTIONS; INDICATORS; CONSERVATION; AUSTRALIA; VICTORIA; IMPACT; POSSUM;
Keywords:
power analysis; sustainable forest management;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
31
Recensione:
Indirizzi per estratti:
Indirizzo: Di Stefano, J Forest Sci Ctr, Water St, Creswick 3363, Australia Forest Sci Ctr Water St Creswick Australia 3363 , Australia
Citazione:
J. Di Stefano, "Power analysis and sustainable forest management", FOREST ECOL, 154(1-2), 2001, pp. 141-153

Abstract

This paper discusses power analysis in the context of sustainable forest management. It is suggested that a priori power analysis should be formally incorporated into the planning stage of all experiments designed to test whether forestry practices are sustainable. A priori power analysis enables researchers to estimate the probability of making a Type II error (i.e., finding no significant difference when one in fact exists). This information is critical in the statistical assessment of sustainable forestry, as unwittingly accepting a Type II error could result in poor management decisions. In addition, it is proposed that statistical assessments of sustainable forestry objectives can be more relevant if alpha (alpha) is liberated from its traditional value of 0.05. It is argued that in the context of sustainable forestry, making a Type II error can be more costly than making a Type I error. Consequently, it often makes sense for beta (fl) to be small (say 0.05) and alpha to take on a larger value. In other situations the cost of making a Type I error may be more important, thus a procedure which enables researchers to determine a locally relevant alpha:beta ratio is recommended. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/07/20 alle ore 10:15:59