Landscape metrics as indicators of coastal morphology and its use in ecological niche modelling of seagrass species

Dependence of some species on landscape structure has been proved in numerous studies. So far, however, little progress has been made in the integration of landscape metrics in the prediction of species associated with coastal features. Specific landscape metrics were tested as predictors of coastal shape using three coastal features of the Iberian Peninsula (beaches, capes and gulfs) at different scales. We used the landscape metrics in combination with environmental variables to model the niche and find suitable habitats for a seagrass species (Cymodocea nodosa) throughout its entire range of distribution. Landscape metrics able to capture variation in the coastline enhanced significantly the accuracy of the models, despite the limitations caused by the scale of the study. We provided the first global model of the factors that can be shaping the environmental niche and distribution of C. nodosa throughout its range. Sea surface temperature and salinity were the most relevant variables. We identified areas that seem unsuitable for C. nodosa as well as those suitable habitats not occupied by the species. We also present some preliminary results of testing historical biogeographical hypotheses derived from distribution predictions under Last Glacial Maximum conditions and genetic diversity data.

Water framework directive implementation: intercalibration exercise for biological quality elements: a case study for the south coast of Portugal

This work summarises the Intercalibration Exercise (IE) required for the Common Implementation Strategy of the Water Framework Directive (WFD; 2000/60/EC) that was carried out in Portugal, and applied to a coastal region. The WFD aims to achieve good ec ological status for all waters in the European Community by 2015. The Ecological Status of a water body is determined us ing a range of Hydromorphological and Physico-Chemical Quality Elements as well Biological Quality Elements (BQE ). In coastal waters, the Biological Elements include Phytoplankton, Other Aquatic Flora and Benthic Inverteb rate Fauna. Good cooperation with the other Member States allowed the IE to proceed without a complete da ta set, and Portugal was ab le to intercalibrate and harmonise methods within the North Ea st Atlantic Geographica l Intercalibration Group for most of the BQE. The appropriate metrics and corre sponding methods were agreed under the framework of the RECITAL (Reference Conditions and Intercalibra tion) project, funded by the Port uguese Water Institu te, INAG. Some preliminary sampling was undertaken, but not su fficient to establish the Reference Conditions. The study area was a coastal lagoon in the southern part of Portugal. The focus was on the Phytoplankton Quality Element, but other BQE were also taken into account. Two sampli ng stations in Ria Formosa coastal lagoon were considered in this exercise: Ramalhete a nd Ponte. The metrics adopted by the Intercalibration Exercise groups were applied enabli ng the classification for the two sta tions of Good/High Status for the majority of the BQE parameters.

Repply to: Brito, A.C., Brotas, V., Caetano, M., Coutinho, T.P., Bordalo, A.A., Icely, J., Neto, J.M., Serôdio, J., Moita, T. (2012) "Defining phytoplankton class boundaries in Portuguese transitional waters: an evaluation of the ecological quality status according to the Water Framework Directive" [Ecological Indicators 19, 5-14]

We write to comment on the recently published paper “Defining phytoplankton class boundaries in Portuguese transitional waters: an evaluation of the ecological quality status according to the Water Framework Directive” (Brito et al., 2012). This paper presents an integrated methodology to analyse the ecological quality status of several Portuguese transitional waters, using phytoplanktonrelated metrics. One of the systems analysed, the Guadiana estuary in southern Portugal, is considered the most problematic estuary, with its upstream water bodies classified as Poor in terms of ecological status. We strongly disagree with this conclusion and we would like to raise awareness to some methodological constraints that, in our opinion, are the basis of such deceptive conclusions and should therefore not be neglected when using phytoplankton to assess the ecological status of natural waters.