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公民科学数据显示,需要不断更新花园植物推荐信息,以帮助传粉媒介。

Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators.

机构信息

School of Biological Sciences, University of Aberdeen, Cruickshank Building, Aberdeen, AB24 3UL, United Kingdom.

Knowledge Media Institute, The Open University, Milton Keynes, UK.

出版信息

Sci Rep. 2020 Nov 24;10(1):20483. doi: 10.1038/s41598-020-77537-6.

Abstract

Widespread concern over declines in pollinating insects has led to numerous recommendations of which "pollinator-friendly" plants to grow and help turn urban environments into valuable habitat for such important wildlife. Whilst communicated widely by organisations and readily taken up by gardeners, the provenance, accuracy, specificity and timeliness of such recommendations remain unclear. Here we use data (6429 records) gathered through a UK-wide citizen science programme (BeeWatch) to determine food plant use by the nations' bumblebee species, and show that much of the plant use recorded does not reflect practitioner recommendations: correlation between the practitioners' bumblebee-friendly plant list (376 plants compiled from 14 different sources) and BeeWatch records (334 plants) was low (r = 0.57), and only marginally higher than the correlation between BeeWatch records and the practitioners' pollinator-friendly plant list (465 plants from 9 different sources; r = 0.52). We found pollinator-friendly plant lists to lack independence (correlation between practitioners' bumblebee-friendly and pollinator-friendly lists: r = 0.75), appropriateness and precision, thus failing to recognise the non-binary nature of food-plant preference (bumblebees used many plants, but only in small quantities, e.g. lavender-the most popular plant in the BeeWatch database-constituted, at most, only 11% of records for any one bumblebee species) and stark differences therein among species and pollinator groups. We call for the provision and use of up-to-date dynamic planting recommendations driven by live (citizen science) data, with the possibility to specify pollinator species or group, to powerfully support transformative personal learning journeys and pollinator-friendly management of garden spaces.

摘要

人们普遍关注授粉昆虫数量的减少,这导致了许多建议的提出,例如种植“对传粉者友好”的植物,将城市环境转变为重要野生生物的宝贵栖息地。虽然这些建议已被组织广泛传播,并被园艺爱好者欣然采纳,但这些建议的来源、准确性、针对性和及时性仍不清楚。在这里,我们使用通过英国范围内的公民科学计划(BeeWatch)收集的数据(6429 条记录)来确定国家熊蜂物种的食物植物用途,并表明记录的许多植物用途并不反映实践建议:从业者推荐的熊蜂友好型植物清单(从 14 个不同来源中汇编的 376 种植物)与 BeeWatch 记录之间的相关性(r=0.57)较低,仅略高于 BeeWatch 记录与从业者的传粉者友好型植物清单之间的相关性(从 9 个不同来源中汇编的 465 种植物;r=0.52)。我们发现传粉者友好型植物清单缺乏独立性(从业者的熊蜂友好型和传粉者友好型清单之间的相关性:r=0.75)、适当性和精确性,因此未能认识到食物植物偏好的非二元性质(熊蜂使用许多植物,但数量很少,例如薰衣草-在 BeeWatch 数据库中最受欢迎的植物-在任何一种熊蜂物种的记录中最多只占 11%),以及物种和传粉者群体之间的明显差异。我们呼吁提供和使用由实时(公民科学)数据驱动的最新动态种植建议,并有可能指定传粉者物种或群体,以有力地支持变革性的个人学习之旅和对花园空间的传粉者友好型管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9966/7686498/e36ee1681aaf/41598_2020_77537_Fig1_HTML.jpg

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