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Landscapes Forest and Global Change - ESA - Escola Superior ...

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R.A. Diaz-Varela et al. 2010. Extent <strong>and</strong> characteristics of mire habitats in Galicia (NW Iberian Peninsula)<br />

196<br />

Franses 2006). CHAID technique was applied using mire classes as response variables against<br />

the abovementioned collection of potential predictors. For the validation of the model, we<br />

r<strong>and</strong>omly split the original data in a training <strong>and</strong> validation with 50 % of the cases assigned to<br />

each subset. We finally generated a contingency matrix for the contrast of the observed <strong>and</strong><br />

predicted classes for the validation set, <strong>and</strong> subsequently we computed the KAPPA statistic<br />

(Bishop et al. 1975) as a measure of model accuracy.<br />

3. Results <strong>and</strong> Discussion<br />

Results of the CHAID classification are presented in figure 2. According the diagram, the most<br />

powerful discriminant variable was distance to sea. In the second level nodes other variables<br />

related to geology, topography <strong>and</strong> climate were taking into account for the discrimination of<br />

mire types. Finally, water balance was considered for the discrimination in the third level<br />

between some blanket bogs <strong>and</strong> Cladium fens with similar values regarding their distance to sea<br />

<strong>and</strong> slope. Overall accuracy reached more than 96 % (table 3) while the estimation of KAPPA<br />

index, regarded as a more reliable indication of the overall accuracy due to its compensation of<br />

chance agreement (Congalton 1991), achieved a value of 0.93, indicating an almost perfect<br />

agreement between the classification <strong>and</strong> reference values (L<strong>and</strong>is <strong>and</strong> Koch 1977). Per class<br />

accuracies reached particularly high values for blanket bogs <strong>and</strong> tufa, while fen <strong>and</strong> Cladium<br />

mires accuracies were lowered because the confusions with each other <strong>and</strong> also with tufa mires.<br />

According these results, blanket bogs occur on sub-coastal areas at different exposures, more<br />

frequently facing north <strong>and</strong> under high annual rainfall or water balance, as previously stated by<br />

biogeographic studies of this habitat in NW Iberian Peninsula (Rodríguez Guitián et al. 2007).<br />

Cladium fens are located close to the coastline, on sedimentary deposits (corresponding in most<br />

cases with the inl<strong>and</strong> border of coastal salt marshes). They also occur in the inl<strong>and</strong>, on flat<br />

surfaces under not particularly high water balances, where some confusion with tufa or fens<br />

could happen. Even when some fen localities may occur in the inl<strong>and</strong>, they tend to appear close<br />

to the coast, on ultra basic material sharing these environmental conditions with localities of<br />

Cladium fens <strong>and</strong> tufa formations. Finally, tufa occurs on the coast, in springs or water table<br />

ruptures leaching fossil/raised coastal dunes systems still rich in carbonates on coastal cliffs, or<br />

alternatively in the inl<strong>and</strong>, linked to the few ditches of limestone rocks in the region (Ramil<br />

Rego et al. 2008).<br />

4. Conclusions<br />

In the present work we explored the role of different environmental controls on the occurrence<br />

of four types of mire habitats. We found out that the degree of continentality (using the reliefcorrected<br />

distance to sea as an indicator) play a potential key role in the differences in spatial<br />

distribution of types in the region of Galicia. However mire types occurrence can not be<br />

differentiated or explained on the basis of just one kind of environmental control, but rather a<br />

combination of different controls (as geology, distance to sea, climate or lithology), being the<br />

importance of each one related to the ecology, tolerance <strong>and</strong> requirements of each particular<br />

habitat.<br />

The results corroborate in a quantitative <strong>and</strong> spatially explicit way the previous knowledge on<br />

the ecological differences between the different mire habitats in the region. This information has<br />

a potential application in habitat management plans for protected areas in combination to other<br />

datasets (e.g. spatial pattern <strong>and</strong> distribution, vulnerability <strong>and</strong> resilience, future climatic <strong>and</strong><br />

l<strong>and</strong> use scenarios) <strong>and</strong> also constitutes a first step towards a predictive biogeographic<br />

modelling of habitat distribution.<br />

<strong>Forest</strong> <strong>L<strong>and</strong>scapes</strong> <strong>and</strong> <strong>Global</strong> <strong>Change</strong>-New Frontiers in Management, Conservation <strong>and</strong> Restoration. Proceedings of the IUFRO L<strong>and</strong>scape Ecology<br />

Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.)<br />

2010, Instituto Politécnico de Bragança, Bragança, Portugal.

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