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Content available remote Ecological Strategy at Cell Size Level to Respond to Stressed Environments
EN
The cell size variations in woody plants in various environments are not well known, and the underlying mechanism has not been fully analyzed. 2. The current study focused on the intraspecific and interspecific size variations in palisade cells occurring in 76 woody species along an elevation gradient (1800–4500 m a.s.l.) on Gongga Montain (1400–7552 m a.s.l.) in southwest China, which included tropical and subtropical genera of broad-leaved forest flora including Salix hyperba as the species occurring on all elevations. We hypothesized that cell size is regulated by alterations in width-length scaling (L-D ratio) to mediate a surface-to-volume ratio (S/V) most suitable for the prevailing environmental conditions. 3. It was observed that cell size co-varied similarly with environmental conditions at the conspecifics, congenerics, and interspecifics levels investigated. Cell sizes decreased among conspecifics, or increase among congenerics and interspecifics via negative or positive scaling of width-length ratio at the cellular level. However, this dichotomously differing tendency may be ecologically constrained by both a cost-increasing and benefit-diminishing mechanism of cell dimension with increasing elevation at the species level, implying a ‘middle way’ strategy for species to stressed environments. 4. The implications of the results for regional floristic evolution are discussed.
EN
In today’s dynamic business environment, a key challenge for all companies is to make adaptive adjustments to their manufacturing strategy. This study demonstrates the competitive priorities of manufacturing strategy in hydro-power case company to evaluate the level of sustainable competitive advantage and also to further analyze how business strategies are aligned with manufacturing strategies. This research is based on new holistic analytical evaluation of manufacturing strategy index, sense and respond, and sustainable competitive advantage models. These models help to describe, evaluate, and optimize resource allocation to meet the performance requirements in dynamic decision making. Furthermore, these models evaluate operational competitiveness for manufacturing strategies according to the multi-criteria priority. The results show that the adjustments of competitive priorities in manufacturing strategies by implementing the proposed holistic analytical models are helpful in strategically managing business operations. The discussion derives the most critical attributes in business operations while alignment of resource allocation with competitive priorities help to strategically focus those attributes. In conclusion, we argue that resource allocation and manufacturing strategies have become the most important capabilities in a business environment where companies focus to get a sustainable competitive advantage.
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