Fiona Bellinger Fiona Bellinger

Mobile species' responses to surrounding land use generate trade-offs among nature's contributions to people

O'Brien, S. A., Tylianakis, J. M., Anderson, D. P., Boesing, A. L., Lai, H. R., Le Provost, G., Manning, P., Neyret, M., Blüthgen, N., Jung, K., Magdon, P., Müller, S., Schenk, N. V., Scherer-Lorenzen, M., & Lavorel, S. (2025). Mobile species' responses to surrounding land use generate trade-offs and synergies among nature's contributions to people. Proceedings of the National Academy of Sciences of the United States of America, 122(45), e2505401122. https://doi.org/10.1073/pnas.2505401122

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A risk-based approach can guide safe cell line development and cell banking for scaled-up cultivated meat production

Bennie, R.Z., Ogilvie, O.J., Loo, L.S.W., Zhou, H., Ng, S.K., Jin, A., Trlin, H.J.F., Wan, A., Yu, H., Domigan, L.J., and Dobson, R.C.J. (2025). A risk-based approach can guide safe cell line development and cell banking for scaled-up cultivated meat production. Nature Food, 3 January 2025; 6: 25-30. https://doi.org/10.1038/s43016-024-01085-9

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Diversification as a climate change adaptation strategy in viticulture systems: winegrowers’ insights from Marlborough, New Zealand

Barry, M., Wreford, A., Knook, J., Teixeira, E., Monge, J., & Parker, A. (2024). Diversification as a climate change adaptation strategy in viticulture systems: winegrowers’ insights from Marlborough, New Zealand. Agroecology and Sustainable Food Systems, 49(4), 494–517. https://doi.org/10.1080/21683565.2024.2426490

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Preferential Binding of Polyphenols in Blackcurrant Extracts with Milk Proteins and the Effects on the Bioaccessibility and Antioxidant Activity of Polyphenols

Mao, T., Akshit, F., Matiwalage, I., Sasidharan, S., Alvarez, C. M., Wescombe, P., & Mohan, M. S. (2024). Preferential Binding of Polyphenols in Blackcurrant Extracts with Milk Proteins and the Effects on the Bioaccessibility and Antioxidant Activity of Polyphenols. Foods, 13(4), 515. https://doi.org/10.3390/foods13040515

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ESMAX for spatial agroecology: A conceptual spatial model for the quantification and visualisation of ES performance from different configurations of landscape

Morris, R., Davis, S., Grelet, G-A., Gregorini, P. (2024). ESMAX for spatial agroecology: A conceptual spatial model for the quantification and visualisation of ES performance from different configurations of landscape. Journal of Sustainable Agriculture and Environment, 3(1). https://doi.org/10.1002/sae2.12097

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