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.

中文翻译：

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方法很重要：从发生记录中分析物候的陷阱

大型事件数据集为生态分析提供了可观的资源，但有很大的局限性。Fric等人的物候分析。（2020）由于策划不足和统计数据不正确而产生误导。重新分析了22种单伏物种，并提供了足够的数据进行独立分析，我们发现了宏观上显着不同的宏观物候模式，包括大多数物种后来在较高纬度下的发病。