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Carteron, A., Jeanmougin, M., Leprieur, F., & Spatharis, S. (2012). Assessing the efficiency of clustering algorithms and goodness-of-fit measures using phytoplankton field data. Ecol. Inform., 9, 64–68.
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Catherine, A., Selma, M., Mouillot, D., Troussellier, M., & Bernard, C. (2016). Patterns and multi-scale drivers of phytoplankton species richness in temperate peri-urban lakes. Science of The Total Environment, 559, 74–83.
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Ewald, M., Aerts, R., Lenoir, J., Fassnacht, F. E., Nicolas, M., Skowronek, S., et al. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote Sensing of Environment, 211, 13–25.
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Fu, C., Xu, Y., Bundy, A., Grüss, A., Coll, M., Heymans, J. J., et al. (2019). Making ecological indicators management ready: Assessing the specificity, sensitivity, and threshold response of ecological indicators. Ecological Indicators, 105, 16–28.
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Leitao, R. P., Zuanon, J., Mouillot, D., Leal, C. G., Hughes, R. M., Kaufmann, P. R., et al. (2018). Disentangling the pathways of land use impacts on the functional structure of fish assemblages in Amazon streams. Ecography, 41(1), 219–232.
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