Author

J. M. Yearsley

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· 5

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

D. Sadykova· 3 shared H. J. White· 3 shared P. Caplat· 3 shared L. Leon-Sanchez· 2 shared M. C. Emmerson· 2 shared W. B. Gaul· 2 shared A. Aderhold· 1 shared A. McDevitt· 1 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersEcology

D. Sadykova

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Weak interactions cause poor performance of common network inference models

D. Sadykova, J. M. Yearsley, A. Aderhold, F. Dondelinger, H. J. White, L. L. Sanchez, M. Ilic, A. Sadykov, M. Emmerson, P. Caplat

The paper evaluates four network inference methods and finds they poorly distinguish interactions in networks with weak interactions and limited data.

bioRxiv · Jun 22, 2023 · PreprintEcology

Resource competition drives an invasion-replacement event among shrew species on an island

S. S. Browett, R. Synnott, D. O'Meara, R. E. Antwis, S. S. Browett, K. Bown, O. Wangensteen, D. A. Dawson, J. B. Searle, J. M. Yearsley, A. McDevitt

This study shows that an invasive shrew alters its diet in a new environment, increasing dietary overlap with a native species and leading to its decline.

bioRxiv · Apr 27, 2022Ecology

Phenotypic Variation from Waterlogging in Multiple Perennial Ryegrass Varieties under Climate Change Conditions

C. A. Frisk, G. Xistris-Songpanya, M. Osborne, Y. Biswas, R. Melzer, J. M. Yearsley

The paper examines how waterlogging affects perennial ryegrass varieties under climate change conditions, finding reduced plant performance and yield, with tetraploid varieties better coping than diploids.

bioRxiv · Mar 7, 2022Ecology

Modelling the distribution of rare invertebrates by correcting class imbalance and spatial bias

W. B. Gaul, D. Sadykova, H. J. White, L. Leon-Sanchez, P. Caplat, M. C. Emmerson, J. M. Yearsley

This paper improves species distribution models for rare millipedes by addressing class imbalance and spatial bias through spatial under-sampling, showing increased sensitivity for rare species.

bioRxiv · Jan 3, 2022Ecology

Data quantity is more important than its spatial bias for predictive species distribution modelling

W. B. Gaul, D. Sadykova, H. J. White, L. Leon-Sanchez, P. Caplat, M. C. Emmerson, J. M. Yearsley

This study shows that sample size and modelling method are more critical than spatial bias for species distribution model performance.

bioRxiv · May 24, 2020Ecology