Corresponding author: Andrew Ruck ( andrew.ruck@slu.se ) © Andrew Ruck, Erik Öckinger, Rene van der Wal, Alice Mauchline, Amelia Hood, Simon Potts, Michiel Wallis De Vries, Sabrina Gaba, Vincent Bretagnolle. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Ruck A, Öckinger E, van der Wal R, Mauchline A, Hood A, Potts S, De Vries MW, Gaba S, Bretagnolle V (2022) Deliverable D3.8 A review of existing citizen science approaches to monitoring farmland biodiversity. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e93507 |
This report was researched and written between April and December 2021 by researchers at the Swedish University of Agricultural Sciences (SLU), with support from partners at the University of Reading (UK), De Vlinderstichting (Netherlands), and Centre National de la Recherche Scientifique (CNRS, France). The report consists of a review of existing 'citizen science’ approaches to monitoring biodiversity on farmland, in which we introduce a typology of five different types of approach, and highlight the strengths and weaknesses of these. This forms part of the project “SHOWCASing synergies between agriculture, biodiversity and Ecosystem services to help farmers capitalising on native biodiversity” (SHOWCASE). SHOWCASE aims to encourage the widespread uptake of biodiversity-friendly farming practices across Europe, both through identifying effective incentives for farmers, and gathering further evidence of the ecosystem services provided by increased levels of biodiversity. The project receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.862480. In particular, this report fulfils Deliverable 3.8 within SHOWCASE: “A review of existing citizen science approaches to monitoring farmland biodiversity, including an overview of the different statistical approaches to handling citizen science data”. We at SLU are grateful to all SHOWCASE partners for their contributions.