Using citizen science butterfly counts to predict species population trends

Author:

Dennis Emily B.12ORCID,Morgan Byron J.T.1,Brereton Tom M.2,Roy David B.3,Fox Richard2

Affiliation:

1. School of Mathematics, Statistics and Actuarial Science; University of Kent; Canterbury CT2 7FS U.K.

2. Butterfly Conservation; Manor Yard; East Lulworth; Wareham BH20 5QP U.K.

3. Centre for Ecology & Hydrology, Benson Lane; Crowmarsh Gifford; Wallingford OX10 8BB U.K.

Funder

Marks & Spencer

Centre for Ecology & Hydrology

Butterfly Conservation

British Trust for Ornithology

Department for Environment, Food and Rural Affairs

Joint Nature Conservation Committee

Forestry Commission

Natural England

Natural Resources Wales

Natural Environment Research Council

Scottish Natural Heritage

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference49 articles.

1. Updated precipitation series for the UK and discussion of recent extremes;Alexander;Atmospheric Science Letters,2000

2. Barton K 2016 MuMIn: multi-model inference. R package. Version, 1.15.6. R Foundation, Vienna https://CRAN.R-project.org/package=MuMIn

3. Statistical solutions for error and bias in global citizen science datasets;Bird;Biological Conservation,2014

4. Developing and launching a wider countryside butterfly survey across the United Kingdom;Brereton;Journal of Insect Conservation,2011b

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