应用资源选择函数研究朱鹮的巢址选择

Using Resource Selection Functions to study nest site selection of Crested Ibis

本文介绍了资源选择函数的原理与方法 ,并分析了朱 (Nipponianippon)的巢址选择。我们将上述结果与主成分分析的结果进行了比较 ,发现两种方法都显示水田面积、营巢树高度、海拔高度和人类干扰程度对朱巢址选择有较大影响 ,而巢向、巢上郁闭度、坡向和坡度对朱影响较小。然而 ,两种方法也有明显的差异 :资源选择函数显示营巢地的坡位非常重要 ,而主成分分析显示植被密度比较重要。分析表明资源选择函数更好地反映了多种生境因素对朱巢址选择的影响。本文探讨了应用资源选择函数所必须注意的对照样方选择和参数的独立性问题 。

We introduced the theory and methodology of Resource Selection Functions (RSFs), and used a RSF to analyze nest site selection of Crested Ibis ( Nipponia nippon ). We compared the results of the RSF with those of principle component analysis (PCA), and found that both methods indicated that habitat factors such as area of rice paddy, height of nest tree, elevation and human disturbance played important roles in nest site selection. Nest orientation, coverage above the nest, aspect and slope of the hill where the nest tree was located were also not important. However, there were significant differences between the two methods. The RSF showed that the position of the nest tree on the slope greatly affected nest site selection, and PCA indicated that the tree density was more important. After detailed comparison, we concluded that RSFs are better than the commonly used PCA in studying habitat selection. We also discuss issues about how to select control plots and the independence of parameters while using RSFs. Finally we offer some suggestions for the conservation of Crested Ibis.