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动员生物多样性标本采集者社区,有效检测和记录人类世的离群值。

Mobilizing the community of biodiversity specimen collectors to effectively detect and document outliers in the Anthropocene.

机构信息

Department of Biological Science, Florida State University, 319 Stadium Dr., Tallahassee, FL, 32306, USA.

出版信息

Am J Bot. 2019 Aug;106(8):1052-1058. doi: 10.1002/ajb2.1335. Epub 2019 Aug 7.

Abstract

PREMISE

Biological outliers (observations that fall outside of a previously understood norm, e.g., in phenology or distribution) may indicate early stages of a transformative change that merits immediate attention. Collectors of biodiversity specimens such as plants, fungi, and animals are on the front lines of discovering outliers, yet the role collectors currently play in providing such data is unclear.

METHODS

We surveyed 222 collectors of a broad range of taxa, searched 47 training materials, and explored the use of 170 outlier terms in 75 million specimen records to determine the current state of outlier detection and documentation in this community.

RESULTS

Collectors reported observing outliers (e.g., about 80% of respondents observed morphological and distributional outliers at least occasionally). However, relatively few specimen records include outlier terms, and imprecision in their use and handling in data records complicates data discovery by stakeholders. This current state appears to be at least partly due to the absence of protocols: only one of the training materials addressed documenting and reporting outliers.

CONCLUSIONS

We suggest next steps to mobilize this largely untapped, yet ideally suited, community for early detection of biotic change in the Anthropocene, including community activities for building relevant best practices.

摘要

前提

生物离群值(观察到的与先前理解的规范不符的现象,例如在物候或分布方面)可能表明正在发生值得立即关注的变革的早期阶段。收集生物多样性标本(如植物、真菌和动物)的人员处于发现离群值的第一线,但目前尚不清楚收集人员在提供此类数据方面的作用。

方法

我们调查了 222 名广泛分类群的收集者,搜索了 47 份培训材料,并在 7500 万份标本记录中探索了 170 个离群值术语的使用情况,以确定该社区目前在离群值检测和记录方面的情况。

结果

收集者报告观察到离群值(例如,约 80%的受访者至少偶尔观察到形态和分布离群值)。然而,相对较少的标本记录包含离群值术语,并且在数据记录中使用和处理这些术语的不精确性使得利益相关者的数据发现变得复杂。这种现状至少部分是由于缺乏协议造成的:只有一份培训材料涉及记录和报告离群值。

结论

我们建议采取下一步措施,动员这个尚未充分利用但理想的社区,以便在人类世早期发现生物变化,包括开展相关最佳实践的社区活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/6851561/670ec6be72b9/AJB2-106-1052-g001.jpg

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