Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators
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 g...
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Nature Portfolio
2020
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oai:doaj.org-article:43c5f0da80bd4093bd7b00aa9d626e152021-12-02T15:09:22ZCitizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators10.1038/s41598-020-77537-62045-2322https://doaj.org/article/43c5f0da80bd4093bd7b00aa9d626e152020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77537-6https://doaj.org/toc/2045-2322Abstract 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.Helen B. AndersonAnnie RobinsonAdvaith SiddharthanNirwan SharmaHelen BostockAndrew SalisburyStuart RobertsRené van der WalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-8 (2020) |
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Medicine R Science Q Helen B. Anderson Annie Robinson Advaith Siddharthan Nirwan Sharma Helen Bostock Andrew Salisbury Stuart Roberts René van der Wal Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
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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. |
format |
article |
author |
Helen B. Anderson Annie Robinson Advaith Siddharthan Nirwan Sharma Helen Bostock Andrew Salisbury Stuart Roberts René van der Wal |
author_facet |
Helen B. Anderson Annie Robinson Advaith Siddharthan Nirwan Sharma Helen Bostock Andrew Salisbury Stuart Roberts René van der Wal |
author_sort |
Helen B. Anderson |
title |
Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
title_short |
Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
title_full |
Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
title_fullStr |
Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
title_full_unstemmed |
Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
title_sort |
citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/43c5f0da80bd4093bd7b00aa9d626e15 |
work_keys_str_mv |
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