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Mapping species distributions: A comparison of skilled naturalist and lay citizen science recording
Authors:René van der Wal  Helen Anderson  Annie Robinson  Nirwan Sharma  Chris Mellish  Stuart Roberts  Ben Darvill  Advaith Siddharthan
Institution:1.Aberdeen Centre for Environmental Sustainability, School of Biological Sciences,University of Aberdeen,Aberdeen,UK;2.School of Biological Sciences,University of Aberdeen,Aberdeen,UK;3.Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics,University of Troms?,Troms?,Norway;4.dot.rural Digital Economy Hub,University of Aberdeen,Aberdeen,UK;5.Computing Science,University of Aberdeen,Aberdeen,UK;6.Bees, Wasps and Ants Recording Society,Salisbury,UK;7.Bumblebee Conservation Trust,Beta Centre, Stirling University Innovation Park,Stirling,UK;8.British Trust for Ornithology,University of Stirling,Stirling,UK
Abstract:To assess the ability of traditional biological recording schemes and lay citizen science approaches to gather data on species distributions and changes therein, we examined bumblebee records from the UK’s national repository (National Biodiversity Network) and from BeeWatch. The two recording approaches revealed similar relative abundances of bumblebee species but different geographical distributions. For the widespread common carder (Bombus pascuorum), traditional recording scheme data were patchy, both spatially and temporally, reflecting active record centre rather than species distribution. Lay citizen science records displayed more extensive geographic coverage, reflecting human population density, thus offering better opportunities to account for recording effort. For the rapidly spreading tree bumblebee (Bombus hypnorum), both recording approaches revealed similar distributions due to a dedicated mapping project which overcame the patchy nature of naturalist records. We recommend, where possible, complementing skilled naturalist recording with lay citizen science programmes to obtain a nation-wide capability, and stress the need for timely uploading of data to the national repository.
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