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Deliverable No. 189 Indicator value database for Ephemeroptera ...

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4 Methods <strong>for</strong> the autoecological field data analysis<br />

The literature review process is a needed step in order to obtain a detailed in<strong>for</strong>mation on actual<br />

knowledge of mayfly ecology. Such a knowledge, integrated with new analysis on field data, will<br />

be necessary to have strong bases <strong>for</strong> assessing the effects of climate changes on freshwater<br />

ecosystems and, especially, on biotic community. The analysis of field data (i.e. mainly coming<br />

from the AQEM and STAR projects) is needed because most of in<strong>for</strong>mation existing on freshwater<br />

groups, even if seemingly complete and extremely interesting, is often based on expert opinion (e.g.<br />

Fauna Aquatica Austriaca, 1995).<br />

Furthermore, in large areas of Southern Europe, knowledge on mayflies is insufficient as far as<br />

taxonomy, distribution and ecology are concerned (e.g., Buffagni and Belfiore, 1994; Buffagni et<br />

al., 2001). For instance, in Italy in recent years, new endemic species have been described (e.g.,<br />

Belfiore, 1995; Belfiore et al., 1997) and a number of others have been reported <strong>for</strong> the first time<br />

(e.g., Belfiore and Buffagni, 1994; Belfiore and Desio, 1995; Buffagni, 1997; 1998; Buffagni and<br />

Desio, 1998). Thanks in great part to the co-funding of E.U. projects in Italy and Southern Europe,<br />

mayfly faunistic, taxonomic and ecological in<strong>for</strong>mation is on the increase (Buffagni et al., 2003).<br />

In Italy, a large amount of data was collected during the E.U. co-funded AQEM, STAR and Eurolimpacs<br />

project plus additional national projects by CNR-IRSA (<strong>for</strong> further detail see also Buffagni,<br />

2004; Hering et al., 2004; Furse et al., 2006). That data, plus other from other Southern European<br />

countries e.g. Portugal, are suitable to per<strong>for</strong>m autoecological studies in order to fill the gap of<br />

knowledge nowadays observed. Looking at the Italian CNR-IRSA dataset, a list of mayfly species<br />

<strong>for</strong> which a suitable amount of data is available was done (Table 8). About 40 species are available<br />

to deepen the knowledge on autecology both at site and microhabitat scale. Out of those 40, about<br />

ten species are rare, endemic or not enough known e.g. Baetis cyrneus, Electrogena calabra and<br />

Habrophlebia consiglioi. While considering data collected at the European scale during the AQEM<br />

and STAR (plus Euro-limpacs) projects, in<strong>for</strong>mation about 150 mayfly species have been collected.<br />

The suitability of the resulting dataset to describe autoecological factors will be checked in order to<br />

e.g. evaluate if abundances high enough were observed <strong>for</strong> all species and if enough supporting<br />

environmental parameters are available.<br />

Concerning the environmental data collected during the mentioned E.U. projects, this kind of<br />

analysis can be per<strong>for</strong>med <strong>for</strong> different parameters at different scales, such as, <strong>for</strong> CNR-IRSA and<br />

(partly) AQEM/STAR datasets:<br />

• microhabitat scale: e.g. flow turbulence, flow type, velocity, depth, mineral and organic<br />

substrate type;<br />

• site scale: e.g. altitude, channel and valley <strong>for</strong>m, environmental quality descriptors;<br />

The task of studying the autoecological preferences of mayfly based on field data will be divided in<br />

four sub-tasks:<br />

- Analysis of the available in<strong>for</strong>mation, selection of which criteria and techniques should be<br />

used.<br />

- Database setup and implementation.<br />

- Autoecological analysis.<br />

- Synthesis of results.<br />

Many different methods are known in the literature to evaluate the autoecological preferences of<br />

freshwater invertebrates. Some of those methods will be tested and selected in order to find the<br />

most appropriate to undertake analyses on <strong>Ephemeroptera</strong> traits. Special attention will be given to<br />

methods proposed to execute the same task <strong>for</strong> Dipteran Chironomidae in the Euro-limpacs project<br />

(Brabec et al., 2006). The methods proposed <strong>for</strong> the Chironomidae group are:<br />

• Random <strong>for</strong>ests method (Breiman, 2001).<br />

18

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