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manner The question of how movement is controlled effectively has been addressed both from the dynamical framework, where the emphasis has been primarily on changes in movement stability and coordination across systems, and the cognitive framework, with its emphasis on knowledge structures and attentional processes enabling effective performance These approaches are discussed next, along with the measures associated with the different approaches Attention and Dual-Task Protocols Manipulation of attentional focus, or task demands, has been used to infer the control strategies of expert performers, either through attention-directing instructions or through secondary-task techniques, which distract attention from the primary task These methods help us to understand how attention is allocated to specific aspects of performance (either movement- or environment-related), as well as general cognitive demands associated with performance, respectively.

Leavitt (1979) examined how stick handling when moving and controlling a puck on the ice was affected by a secondary perceptual discrimination task across ice hockey players of various ages and skill levels For novice players, in comparison to the older and more skilled players, stick handling deteriorated during secondary-task conditions However, it was not possible to conclude whether the secondary task interfered at a perceptual level, preventing focus on the stick or the puck, or at a cognitive level, due to limits in processing capacity This issue has been circumvented through auditory secondary-task manipulations, which do not require a physical change in attentional focus (eg, Abernethy, 1988; Beilock, Wierenga, et al, 2002) Resource limitations, as a result of memory demands required of the primary task, have been observed following requirements to respond to an auditory stimulus.

tained heat and moisture) migrate in accordance with the laws of physics The typical grid spacings (ie cell sizes) used in AOGCMs are typically squares of about 1 1 , amounting to about 250 km 250 km near the equator, with occasional ner-scale grids using cells down to 40 km 40 km While the rst few generations of General Circulation Models (GCMs) either ignored exchanges of heat and moisture with the oceans or represented them very simplistically, the present generation of AOGCMs handle these dynamics much more realistically (Allen and Ingram 2002) Because AOGCMs are being continually re ned, climate change impact studies based upon them tend to have rather short shelflives.

Attention has been manipulated to determine how knowledge structures, and hence specific skill-related attention manipulations, affect the control of various sport skills in golf (Beilock, Carr, MacMahon, & Starkes, 2002), soccer (Beilock, Carr, et al, 2002; Ford, Hodges, & Williams, 2005), and baseball (Gray, 2004) In comparison to novice performers, only skilled players were affected when attention was directed to a component associated with the skill, such as the foot in soccer dribbling In Figure 71 we have plotted the mean movement times (for soccer ball dribbling) and timing errors (for baseball batting) across the three laboratories where these skill-based attention manipulations have been examined There is a consis-.

the aerosol becomes internally mixed. Nucleation in the FT has been observed and modelled in the vicinity of convective clouds, especially in areas where cloud droplets evaporate and free H2 SO4 in the gas phase becomes available. Together with a high actinic ux that favours the production of OH, H2 SO4 starts nucleation in such regions [122]. It has been reported already in 1980 that in the FT the differences between the marine and the continental FT in aerosol concentrations are small except for ammonium [123]. In the ABL, however, a clear distinction can be made between these two areas.

Application of AOGCM output to drive groundwater models is bedevilled by the difference in scale between AOGCM cells and the much smaller cells (rarely larger than 1 km 1 km, and often as small as 100 m 100 m) which are typically used in groundwater models (see 10) Full details of how the necessary transfer of AOGCM output to become groundwater model input is made are beyond the scope of this text; for an introductory review, the reader is referred to Younger et al (2002b) Implications of AOGCM predictions for groundwater systems Mirroring the gradual evolution of GCMs and AOGCMs, investigations of the impacts of predicted climate change on aquifers have gradually proceeded from coarse-scale to ne-scale.

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The eighth section provides a summary discussion of the material on time series analysis presented in this chapter and some general observations on this methodology..