期刊
NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
卷 30, 期 3, 页码 679-690出版社
AMER FISHERIES SOC
DOI: 10.1577/M09-024.1
关键词
-
类别
The regression line percentile (RLP) method for computing standard weight (W(s)) equations produces third-quartile estimates that tend to be biased downward for long fish as a result of extrapolation acting in concert with systematic variation in the distribution of length-weight relationships among fish populations. Parameter mismatch in the development and use of W(s) equations (i.e., third quartile for development of W(s) equations and use of mean relative weight W(r) for application and testing) induces artifactual biases when testing equations and leads to the appearance of reduced fish condition when applied to longer fish. Consistent interpretation of mean W(r) against a single standard (e.g., third quartile, median, or any other) is not usually possible due to nonconstant variation in the distributions of mean W(r) among species and among length-classes for a given species. I recommend that future computations of W(s) use quadratic equations for all three quartiles to enable consistent and more informative interpretation of mean W(r).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据