Method matters: pitfalls in analysing phenology from occurrence records
Method matters: pitfalls in analysing phenology from occurrence records
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方法很重要：从发生记录分析物候学的陷阱
DOI：
10.1111/ele.13731
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发表时间：
2021
期刊：
影响因子：
8.8
通讯作者：
Ezenwa, ed., Vanessa
中科院分区：
文献类型：
--
作者：
Larsen, Elise A.;Shirey, Vaughn;Ezenwa, ed., Vanessa
大型事件数据集为生态分析提供了相当大的资源，但有很大的局限性。Fricet等人的物候分析。(2020)具有误导性，原因是管理不到位和统计不正确。重新分析了22个具有足够数据进行独立分析的单化性物种，我们发现了本质上不同的大尺度物候模式，包括大多数物种在较高纬度起病较晚。
Large occurrence datasets provide a sizable resource for ecological analyses, but have substantial limitations. Phenological analyses in Fricet 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.