Musical performance anxiety (MPA) occurs throughout musicians’ careers. The existing literature on coping with MPA is underdeveloped in its understanding of how college musicians develop their own coping strategies. This article explores the ways in which MPA is self-managed by college musicians, drawing on qualitative data from the local context of Taiwan. A ‘performance diary’ for managing MPA was prepared and semi-structured interviews were carried out with 53 undergraduate students (from Year 1 to Year 4) from a university’s music department. The findings show that college musicians have developed at least nine self-management strategies, which they implement throughout a specific timeline leading up to a performance, from 4 weeks before right up to the performance (concert, exam and recital) itself. These strategies are products of musicians’ self-regulated learning process of developing their own expertise and building up their self-efficacy. The findings also reveal that providing information about psychological strategies in a performance diary could help musicians to become aware of MPA and develop their metacognition of coping strategies. Highlighting the importance of the specific time periods, types of performance and performance environments, this article has implications for college musicians, teachers and institutions that are looking to develop MPA-management strategies.
Abstract. Ecological models are effective tools for simulating the distribution of global carbon sources and sinks. However, these models often suffer from substantial biases due to inaccurate simulations of complex ecological processes. We introduce a set of scaling factors (parameters) to an ecological model on the basis of plant functional type (PFT) and latitudes. A global carbon assimilation system (GCAS-DOM) is developed by employing a dual optimization method (DOM) to invert the time-dependent ecological model parameter state and the net carbon flux state simultaneously. We use GCAS-DOM to estimate the global distribution of the CO 2 flux on 1 • × 1 • grid cells for the period from 2001 to 2007. Results show that land and ocean absorb −3.63 ± 0.50 and −1.82 ± 0.16 Pg C yr −1 , respectively. North America, Europe and China contribute −0.98 ± 0.15, −0.42 ± 0.08 and −0.20 ± 0.29 Pg C yr −1 , respectively. The uncertainties in the flux after optimization by GCAS-DOM have been remarkably reduced by more than 60 %. Through parameter optimization, GCAS-DOM can provide improved estimates of the carbon flux for each PFT. Coniferous forest (−0.97 ± 0.27 Pg C yr −1 ) is the largest contributor to the global carbon sink. Fluxes of once-dominant deciduous forest generated by the Boreal Ecosystems Productivity Simulator (BEPS) are reduced to −0.78 ± 0.23 Pg C yr −1 , the third largest carbon sink.
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