Quantitative methods for defining mast‐seeding years across species and studies
Quantitative methods for defining mast‐seeding years across species and studies
复制标题
定义跨物种和研究的肥大播种年限的定量方法
DOI：
--
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
S. Boutin
中科院分区：
文献类型：
--
作者：
J. M. LaMontagne;S. Boutin
：虽然有一种定量方法通常用于根据变异系数(即变异系数是标准差/平均值1)来确定植物种群的桅杆播种行为，但没有一种通用的定量方法来划定“桅杆”而不是“非桅杆”年份。然而，丰产年被定性地描述为种子产量“大”、“异常大”和“高”的年份。在不同物种和植物种群之间使用一致和普遍适用的方法来描绘丰年，对于综合有关丰年播种的原因和后果的知识是重要的，但在不同研究中使用不同的方法可能会混淆这些知识。我们考察了六种确定主要年份的定量方法：四种来自文献的方法和两种在这里发展的方法。我们使用了36个涵盖各种物种的种子生产数据集和≥10年的数据来测试这六种方法的性能。对于每种方法，我们量化该方法可以成功应用的数据集的百分比、主要年份相对于平均值的大小、主要年份的频率以及连续主要年份的出现。大多数方法都没有达到合适方法的标准。最好的方法是使用年平均种子产量与数据集的长期平均值的标准差(标准化差法)的数量来确定最大播种年份。标准化偏差法的一般结果包括：盛播年份的出现在很大程度上与植物种群变异系数无关，但在物种和数据收集方法上是相似的。
: Although there is a quantitative method that is commonly used for identifying mast-seeding behaviour of a plant population based on the coefficient of variation (i.e. CV is standard deviation/mean>1), there is no general quantitative method for delineating “mast” as opposed to “non-mast” years. Mast years are, however, described qualitatively as years when “large”, “unusually large” and “high” seed production occurs. The use of a consistent and generally applicable method for delineating mast years across species and plant populations is important for synthesizing knowledge of the causes and consequences of mast seeding, which could be confounded by using different methods among studies. We examine six quantitative methods for identifying mast years: four methods from the literature and two methods developed here. We use 36 seed production datasets covering a variety of species with ≥10 years of data to test the performance of these six methods. For each method, we quantify the percentage of the datasets to which the method could be successfully applied, the magnitude of the mast year relative to the mean, the frequency of mast years and the occurrence of consecutive mast years. The majority of the methods failed to meet the criteria for a suitable method. The best method used the number of standard deviates (standardized deviate method) of the annual mean seed production from the long-term mean of the dataset to identify mast-seeding years. General results from the standardized deviate method include that the occurrence of mast-seeding years is largely unrelated to plant population CV, but similar across species and data collection methods.