Author

R. A. Robinson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

Frequent Co-Authors

C. Dytham· 1 shared C. M. Beale· 1 shared D. Zurell· 1 shared G. Fandos· 1 shared J. G. Davies· 1 shared K. Thorup· 1 shared M. Talluto· 1 shared P. H. Boersch-Supan· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 13 mutual co-author links

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1 shared paperEcology

C. Dytham

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Author profile →

3 papers

Recent·Most cited

Estimating the distribution of reed Phragmites australis in Britain demonstrates challenges of remotely sensing rare land cover types at large spatial scales

J. G. Davies, C. Dytham, R. A. Robinson, C. M. Beale

This study maps reedbeds in Britain using remote sensing and machine learning, finding high accuracy in training areas but significant errors in field validation, limiting spatial utility.

bioRxiv · Sep 27, 2023 · PreprintEcology

Standardised empirical dispersal kernels emphasise the pervasiveness of long-distance dispersal in European birds

G. Fandos, M. Talluto, W. Fiedler, R. A. Robinson, K. Thorup, D. Zurell

This study estimates and compares empirical dispersal kernels for European birds, finding that long-distance dispersal is common across species and life stages.

bioRxiv · Nov 8, 2021Ecology

Integrating structured and unstructured citizen science data to improve wildlife population monitoring

P. H. Boersch-Supan, R. A. Robinson

This paper integrates structured and unstructured citizen science data to improve wildlife population trend estimates, showing higher precision in some cases but also highlighting the need for representative coverage.

bioRxiv · Mar 3, 2021 · PreprintEcology