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This is a summary of Elena Abella Pérez's doctoral thesis "Factores ambientales y de manejo que afectan al desarrollo embrionario de la tortuga marina Caretta caretta. Implicaciones en programas de incubación controlada", Estación Biológica de Doñana (CSIC) and Departamento de Biología, Universidad de Las Palmas de Gran Canaria, 29 October 2010.
Compared to other grassland types across Slovakia, dry grasslands harbour species-rich and specialised ant communities. High diversity and species richness of ants may be seen as a consequence of (i) the specific structure of dry grassland vegetation, (ii) long-term ecological stability, and (iii) currently low or absent management-induced disturbance. With special regard to dry grasslands, we report on structural characteristics of vegetation and low-disturbance regime, which contribute to ant assemblage structure. Our study was carried out in the Štiavnické Vrchy Mts. (Central Slovakia), a region with a historically well-developed grassland area. We established a set of 25 research plots within southorientated grassland habitats representing five different grassland types: wet managed and wet abandoned grasslands, mesic managed and mesic abandoned grasslands (Arrhenatherion elatioris), and dry abandoned grassland habitats (Asplenio-Festucion glaucae). Each habitat type was represented by five plots. At each plot, a set of ten pitfall traps was used to sample ground-foraging ant assemblages. Around each trap, structural characteristics of vegetation and microhabitat were assessed. Dry grasslands were shown to have a specific microhabitat structure, characterised by the presence of a well-developed moss and lichen layer, exposed bedrock, bare soil, and significantly lower, although species-rich vege - tation. Besides the specific microhabitat structure, the absence of management may have contributed to the distinctiveness of these ant assemblages compared to those associated with other grassland categories. Ant assemblages were more species-rich, and the activity of ants was higher in recently abandoned grassland habitats. The effect of abandonment was quite opposite for plants, whose species-richness was, contrary to ants, higher within managed sites.
Prioritisation of high-impact species is becoming increasingly important for management of introduced species (‘neobiota’) because of their growing number of which, however, only a small fraction has substantial impacts. Impact scores for prioritising species may be affected by the type of effect model used. Recent studies have shown that environmental co-variation and non-linearity may be significant for effect models of biological invasions. Here, we test for differences in impact scores between simple and complex effect models of three invasive plant species (Heracleum mantegazzianum, Lupinus polyphyllus, Rosa rugosa). We investigated the effects of cover percentages of the invasive plants on species richness of invaded communities using both simple linear effect models (‘basic models’) and more complex linear or nonlinear models including environmental co-factors (‘full models’). Then, we calculated impact scores for each invasive species as the average reduction of species richness predicted by basic and full effect models. All three non-native species had negative effects on species richness, but the full effect models also indicated significant influence of habitat types. Heracleum mantegazzianum had uniform linear effects in all habitats, while effects of L. polyphyllus interacted strongly with habitat type, and R. rugosa showed a marked non-linear relationship. Impact scores were overestimated by basic effect models for H. mantegazzianum and R. rugosa due to disregard of habitat effects and non-linearity, respectively. In contrast, impact of L. polyphyllus was underestimated by the basic model that did not account for the strong interaction of invader cover and habitat type. We conclude that simple linear models will often yield inaccurate impact scores of non-native species. Hence, effect models should consider environmental co-variation and, if necessary, non-linearity of the effects of biological invasions on native ecosystems.