Bourhis, Y., Bell, J. R., Shortall, C. R., Kunin, W. and Milne, A. E. 2023. Explainable neural networks for trait-based multispecies distribution modelling—A case study with butterflies and moths. Methods in ecology and evolution. 14 (6), pp. 1531-1542. https://doi.org/10.1111/2041-210X.14097
Wainwright, C. E., Volponi, S. N., Stepanian, P. M., Reynolds, D. R. and Richter, D. H. 2022. Using cloud radar to investigate the effect of rainfall on migratory insect flight. Methods in ecology and evolution. https://doi.org/10.1111/2041-210X.14023
Drake, L. E., Cuff, J. P., Young, R. E., Marchbank, A., Chadwick, E. A. and Symondson, W. O .C. 2021. An assessment of minimum sequence copy thresholds for identifying and reducing the prevalence of artefacts in dietary metabarcoding data. Methods in ecology and evolution. 13, p. 694–710. https://doi.org/10.1111/2041-210X.13780
Cuff, J. P., Wilder, S. M., Maximillian, P .T. G., Hunt, R., Oluwaseun, S., Morley, P. S., Badell-Grau, R. A., Vaughan, I. P., Bell, J. R., Orozco-terWengel, P., Symondson, W. O. C. and Muller, C. T. 2021. MEDI: Macronutrient Extraction and Determination from invertebrates, a rapid, cheap and streamlined protocol. Methods in ecology and evolution. 12 (4), pp. 593-601. https://doi.org/10.1111/2041-210X.13551