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Identifying scales of pattern in ecological systems and referring patterns to multi-scaled processes that create them are ongoing challenges.
Identifying scales of pattern in ecological systems and coupling patterns to processes that create them are ongoing challenges.
The phylogeny is a scaffold for identifying scales of species-aggregation associated with macroscopic patterns.
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The aim of this study is to identify scales of spatial variation in the abundance and fragmentation patterns of L. byssoides along the Atlantic coast of the Iberian Peninsula.
Here, we describe a novel framework that combines SAC and statistical clustering to identify scales of spatial patterning of environmental factors, which can then be interpreted as the scales at which those factors influence the geographic distribution of biological and ecological features.
Moreover, they are of particular importance since they enable us to identify scales of two characteristic time contributions, distinguishing the conformational dynamics within the protein enzyme (the first component) and between two coupled chemical reactions each of which is gated by a single transition substate (the second component).
Exploratory factor analysis (EFA) was conducted using scale development guidelines to identify scales and subscales of the instrument.
We then described the details of the identified scales.
The stability conditions for each model, and the circumstances under which the models themselves are relevant, are used to identify scale-related domains of stability and instability.
This is because in the hierarchical modeling, in order to identify scale, the product of the discrimination parameters was fixed at 1, both for Neuroticism and for Extraversion.
We are particularly motivated by the interplay of several identified scaling lengths stemming from the material, boundary conditions and geometry.
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