本頁只刊出中文翻譯與中文說明;英文原文請見下方原文連結。
原文連結
論文資訊
- 類型:已發表論文
- 日期:2011
摘要
P>1.Coomes & Allen (2009) propose a new 統計 method to test the Metabolic 縮放律 Theory prediction for tree growth rate size 縮放律 (縮放律 constant alpha = 1/3) presented in Enquist et al. (1999). This method finds values of the 縮放律 constant that yield standardized major axis (SMA) slopes of one in a comparison of allometrically transformed diameter census data. This SMA 'slope-of-one' method produces results that contrast with those generated by maximum-likelihood estimation (MLE; Russo, Wiser & Coomes 2007; Coomes & Allen 2009). 2. We hypothesize that the SMA slope-of-one method is inappropriate for this application because it assumes, unrealistically, that there is no 生物 or error variance in tree growth size 縮放律. To test our hypothesis, we simulate 'allometric' tree growth with 生物 and error varia
※ 此為已發表論文,全文需透過期刊付費取得