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Regression analyses were used to identify site factors and characteristics of the herbaceous vegetation associated with totara regeneration.
Although these parameters will provide a measure of ventilation, other ventilatory parameters, which can provide mechanistic insight or identify site of action, should also be considered.
This site provided the opportunity to study (i) whether totara can regenerate naturally on a grassland site subject to intensive grazing pressure, and (ii) if so, to identify site factors and characteristics of the vegetation associated with such totara regeneration.
We show how commonly known techniques can be adapted in a novel and effective approach for the specific purpose of analyzing plant species occurrence in the plots to identify site conditions that influence species configurations and species diversity, thus providing important information concerning aspects of large scale vegetation structure.
The Observed Minus Expected Squared (OMES) approach developed by Kass and Horovitz utilized a χ2 goodness-of-fit test to identify site pairs at which the observed distribution of amino-acid pairs diverged significantly from expectation [10], [11].
Tee et al. (2010) applied globally sampled VP1 sequences and identified three putative sites under positive selection [ 39], suggesting that a more comprehensive sampling may be necessary to identify site under selection.
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But what might be surprising is the methods used to identify sites to break into.
They also began to identify sites where development could begin immediately.
Given their historic focus on prevention, local health departments were selected as pilot sites to study implementation of 1-2-3 Papublic public health setting and identify site-specific variations in its implementation.
The approach here has been to identify sites at the monomer-monomer interface.
Also, HRCT can be used to guide bronchoscopic sampling and identify sites for treatment.
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