Adaptation and application of multivariate AMBI (M-AMBI) in US coastal waters data

extensively in Europe, but not in the United States. In a previous study, we adapted AMBI for use in US coastal waters (US AMBI), but saw biases in salinity and score distribution when compared to locally calibrated indices. In this study we modified M-AMBI for US waters and compared its performance to that of US AMBI. Index performance was evaluated in three ways: 1) concordance with local indices presently being used as management tools in three geographic regions of US coastal waters, 2) classification accuracy for sites defined a priori as good or bad and 3) insensitivity to natural environmental gradients. US M-AMBI was highly correlated with all three local indices and removed the compression in response seen in moderately disturbed sites with US AMBI. This data set provides the data used to conduct these analyses and produce the tables and figures in the paper. This dataset is associated with the following publication: Pelletier, P., D. Gillett, A. Hamilton, T. Grayson, V. Hansen, E. Leppo, S. Weisberg, and A. Borja. Adaptation and application of multivariate AMBI (M-AMBI) in US coastal waters. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 89: 818-827, (2018).

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[
  "https://doi.org/10.1016/j.ecolind.2017.08.067"
]