Native bee species in the United States provide invaluable pollination services. Concerns about native bee declines are growing, and there are calls for a national monitoring program. Documenting species ranges at ecologically meaningful scales through coverage completeness analysis is a fundamental step to track bees from species to communities. It may take decades before all existing bee specimens are digitized, so projections are needed now to focus future research and management efforts. From 1.923 million records, we created range maps for nearly 88% (3158 species) of bee species in the contiguous United States, provided the first analysis of inventory completeness for digitized specimens of a major insect clade, and perhaps most important, estimated spatial completeness accounting for all known bee specimens in USA collections, including undigitized bee specimens. Completeness analyses were very low (3–37%) across four examined spatial resolutions when using the currently available bee specimen records. Adding a subset of observations from community science data sources did not significantly increase completeness, and adding a projected 4.7 million undigitized specimens increased completeness by only an additional 12–13%. Assessments of data, including projected specimen records, indicate persistent taxonomic and geographic deficiencies. In conjunction with expedited digitization, new inventories that integrate community science data with specimen-based documentation will be required to close these gaps. A combined effort involving both strategic inventories and accelerated digitization campaigns is needed for a more complete understanding of USA bee distributions.

中文翻译：

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对 3000 多种美国蜜蜂物种的完整性分析确定了持续存在的数据缺口

美国本土的蜜蜂物种提供了宝贵的授粉服务。对本地蜜蜂数量减少的担忧正在增加，并呼吁实施国家监测计划。通过覆盖完整性分析以具有生态意义的尺度记录物种范围是追踪蜜蜂从物种到群落的基本步骤。将所有现有蜜蜂标本数字化可能需要数十年时间，因此现在需要进行预测以集中未来的研究和管理工作。根据 192.3 万条记录，我们为美国本土近 88%（3158 种）的蜜蜂物种创建了分布图，首次分析了主要昆虫进化枝的数字化标本的库存完整性，也许最重要的是，估计了空间完整性考虑到美国收藏品中所有已知的蜜蜂标本，包括未数字化的蜜蜂标本。使用当前可用的蜜蜂标本记录时，四个检查的空间分辨率的完整性分析非常低 (3–37%)。添加来自社区科学数据源的观察子集并没有显着提高完整性，而添加预计的 470 万个未数字化标本仅将完整性提高了 12-13%。数据评估，包括预计的标本记录，表明持续存在的分类学和地理缺陷。结合加速数字化，需要将社区科学数据与基于标本的文档相结合的新清单来弥补这些差距。要更全面地了解美国蜜蜂的分布，需要结合战略库存和加速数字化活动。