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Article Dans Une Revue Journal of Applied Statistics Année : 2013

Application of Ordinal Correspondence Analysis for Submerged Aquatic Vegetation Monitoring

C. Manté
David Nerini

Résumé

The European Water Framework states that macrophyte communities (seaweeds and seagrass) are key indicators of the ecological health of lagoons. Furthermore the restoration of these communities, especially the Zostera meadows, is one of the main objectives of the Berre lagoon restoration plan. Consequently a monitoring program of the main macrophyte species still present in the lagoon was initiated in 1996. This monitoring resulted in a sequence of eleven spatially structured annual tables consisting of the observed density of these species. These tables are processed in this study. First, we specify the principles of Beh's Ordinal Correspondence Analysis (OCA), designed for ordered row/column categories, and compare this method to classical Correspondence Analysis (CA). Then, we show that OCA is straightforwardly adaptable for processing a sequence of ordered contingency tables like ours. Both OCA and CA are afterwards used to reveal and test the main patterns of spatiotemporal changes of two macrophyte species in the Berre lagoon: Ulva and Zostera. The results we obtained are compared and discussed.
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Dates et versions

hal-00912773 , version 1 (03-12-2013)

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C. Manté, David Nerini. Application of Ordinal Correspondence Analysis for Submerged Aquatic Vegetation Monitoring. Journal of Applied Statistics, 2013, 40 (8), pp.1619-1638. ⟨10.1080/02664763.2013.789494⟩. ⟨hal-00912773⟩
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