Department of Biology, Georgetown University, Washington, DC, USA.
Ecol Lett. 2021 Jun;24(6):1287-1289. doi: 10.1111/ele.13731. Epub 2021 Mar 23.
Large occurrence datasets provide a sizable resource for ecological analyses, but have substantial limitations. Phenological analyses in Fric et al. (2020) were misleading due to inadequate curation and improper statistics. Reanalysing 22 univoltine species with sufficient data for independent analysis, we found substantively different macroscale phenological patterns, including later onset at higher latitude for most species.
大型发生数据集为生态分析提供了丰富的资源，但也存在很大的局限性。Fric 等人（2020 年）的物候分析由于养护不当和统计方法不当而产生了误导。我们重新分析了 22 种具有足够独立分析数据的一化性物种，发现了实质性不同的宏观物候模式，包括大多数物种在高纬度地区的起始时间较晚。
