Avoiding growing pains in reproductive trait databases: the curse of dimensionality
收藏DataONE2022-09-07 更新2025-06-14 收录
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Aim: Reproductive output features prominently in many trait databases, but the metrics describing it vary and are often untethered to temporal- and volumetric-dimensions (e.g., fecundity-per-bout). Using such ambiguous reproductive measures to make broadscale comparisons across taxonomic groups will only be meaningful if they show a 1:1 relationship with a reproductive measure that explicitly includes both a volumetric and temporal component (i.e., reproductive mass-per-year). We sought to map the prevalence of ambiguous and explicit reproductive measures across taxa, and explore their relationships with one another to determine the cross-compatibility and utility of reproductive metrics in trait databases.
Location: Global.
Time period: 1990-2021.
Major taxa studied: We searched for reproductive measures across all Metazoa, and identified 19,785 Chordata species, along with 440 species of Arthropoda, Cnidaria, or Mollusca.
Methods: We included 37 databases from which we summarised the ...
研究目的:繁殖产出在诸多性状数据库中占据重要地位,但用于描述该指标的计量方式各不相同,且往往未结合时间与体积维度(例如单次繁殖力)。若要使用这类表述模糊的繁殖指标开展跨分类类群的大范围比较,仅当其与同时涵盖体积与时间维度的明确繁殖指标(即年繁殖质量)呈1:1对应关系时,此类比较才具备科学意义。本研究旨在明确各类群中模糊与明确繁殖指标的分布情况,并探究二者间的关联,以明确性状数据库中繁殖计量指标的跨类群兼容性与应用价值。
研究区域:全球范围。
研究时段:1990年至2021年。
研究类群:本研究针对所有后生动物(Metazoa)检索繁殖指标,共收录19785种脊索动物(Chordata),以及节肢动物(Arthropoda)、刺胞动物(Cnidaria)和软体动物(Mollusca)共440个物种。
研究方法:本研究纳入37个数据库,并对其中数据进行汇总……
创建时间:
2025-05-21



