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Qin, B., Paerl, H. W., Brookes, J. D., Liu, J., Jeppesen, E., Zhu, G., Zhang, Y., Xu, H., Shi, K. & Deng, J. (2019). Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (2007–2017) efforts. Science Bulletin, 64(6), 354-356. https://doi.org/10.1016/j.scib.2019.02.008
Murphy, K., Efremov, A., Davidson, T. A., Molina-Navarro, E., Fidanza, K., Crivelari Betiol, T. C., Chambers, P., Tapia Grimaldo, J., Varandas Martins, S., Springuel, I., Kennedy, M., Mormul, R. P., Dibble, E., Hofstra, D., Lukács, B. A., Gebler, D., Baastrup-Spohr, L. & Urrutia-Estrada, J. (2019). World distribution, diversity and endemism of aquatic macrophytes. Aquatic Botany, 158, Artikel 103127. https://doi.org/10.1016/j.aquabot.2019.06.006
Zhou, Y., Xiao, Q., Yao, X., Zhang, Y., Zhang, M., Shi, K., Lee, X., Podgorski, D. C., Qin, B., Spencer, R. G. M. & Jeppesen, E. (2018). Accumulation of Terrestrial Dissolved Organic Matter Potentially Enhances Dissolved Methane Levels in Eutrophic Lake Taihu, China. Environmental Science & Technology, 52(18), 10297-10306. https://doi.org/10.1021/acs.est.8b02163
Kaandorp, V. P., Molina-Navarro, E., Andersen, H. E., Bloomfield, J. P., Kuijper, M. J. M. & de Louw, P. G. B. (2018). A conceptual model for the analysis of multi-stressors in linked groundwater–surface water systems. Science of the Total Environment, 627, 880-895. https://doi.org/10.1016/j.scitotenv.2018.01.259
Thodsen, H., Molina Navarro, E., Nielsen, J. W., Larsen, J. & Maar, M. (2018). Afstrømning og næringsstoftilførsler til Limfjorden baseret på tre forskellige modeller. Aarhus University, DCE - Danish Centre for Environment and Energy. Teknisk rapport fra DCE - Nationalt Center for Miljø og Energi Nr. 115 http://dce2.au.dk/pub/TR115.pdf
Bruce, L. C., Frassl, M. A., Arhonditsis, G. B., Gal, G., Hamilton, D. P., Hanson, P. C., Hetherington, A. L., Melack, J. M., Read, J. S., Rinke, K., Rigosi, A., Trolle, D., Winslow, L., Adrian, R., Ayala, A. I., Bocaniov, S. A., Boehrer, B., Boon, C., Brookes, J. D. ... Weber, M. (2018). A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. Environmental Modelling & Software, 102, 274-291. https://doi.org/10.1016/j.envsoft.2017.11.016