EXPLORING FITNESS SURFACES
EXPLORING FITNESS SURFACES
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DOI：
10.1086/285622
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发表时间：
1994-04-01
影响因子：
2.9
通讯作者：
NYCHKA, D
中科院分区：
文献类型：
--
作者：
SCHLUTER, D;NYCHKA, D
我们提出了一个非参数方法来估计一套数量性状的多元选择的形式。它的优点有三方面。首先，该过程是灵活的，并且不强制表面的估计符合特定的数学形状。需要一个灵活的方法说明了一个例子，使用二次回归。其次，多维表面的估计可以在二维或三维中可视化。这种简化是通过在几个最有趣的方向上制作曲面的横截面来完成的。最后，该方法的目的是处理生存和其他非正常的健身组件。我们将该过程应用于两个数据集。在歌麻雀，生存表面近似的脊有利于身体质量和翼长之间的异速生长关系。人类婴儿的存活率随着出生质量和母亲妊娠期的增加而急剧上升，形成一个宽阔的平穹。我们的研究结果强调了“相关”选择的普遍性，并说明了性状如何共同决定健身。
We present a nonparametric method to estimate the form of multivariate selection on a suite of quantitative traits. Its advantages are threefold. First, the procedure is flexible and does not force estimates of the surface to conform to a specific mathematical shape. The need for a flexible method is illustrated by an example using quadratic regression. Second, estimates of multidimensional surfaces can be visualized in two or three dimensions. This simplification is accomplished by making cross sections of the surface in the few most interesting directions. Finally, the method is designed to handle survival and other nonnormal fitness components. We apply the procedure to two data sets. In song sparrows, the survival surface is approximated by a ridge favoring an allometric relation between body mass and wing length. Survival in human infants rises steeply with increasing birth mass and maternal gestation period to a broad flat dome. Our results emphasize the ubiquity of ''correlational'' selection and illustrate how traits jointly determine fitness.