Jackson, J. A., Bajer, A., Behnke-Borowczyk, J., Gilbert, F. S., Grzybek, M., Alsarraf, M., & Behnke, J. M. (2023). Remotely sensed localised primary production anomalies predict the burden and community structure of infection in long-term rodent datasets. Global change biology, 29(19), 5568. https://doi.org/10.1111/gcb.16898
Style de citation ChicagoJackson, Joseph A., Anna Bajer, Jolanta Behnke-Borowczyk, Francis S. Gilbert, Maciej Grzybek, Mohammed Alsarraf, et Jerzy M. Behnke. "Remotely Sensed Localised Primary Production Anomalies Predict the Burden and Community Structure of Infection in Long-term Rodent Datasets." Global Change Biology 29, no. 19 (2023): 5568. https://dx.doi.org/10.1111/gcb.16898.
Style de citation MLAJackson, Joseph A., et al. "Remotely Sensed Localised Primary Production Anomalies Predict the Burden and Community Structure of Infection in Long-term Rodent Datasets." Global Change Biology, vol. 29, no. 19, 2023, p. 5568.