Here, we explore how management practices interplayed with landscape and structural variables to influence the diversity of plants, birds, butterflies and other pollinating insects in small public gardens (0.5 2.0 ha) in the center of a large metropolis (Paris, France).
We examined bivariate associations and tested for potential collinearity or effect modification of individual, interpersonal, and environmental and structural variables with experiences of each type of violence by using generalised estimating equations and a working correlation matrix.
Therefore, the analyses based on the 'overall score' indicator refer to all the questions; division of the 'overall score' variable into six classes (P <60, 60< P ≤65, 65< P ≤70, 70< P ≤75, 75< P ≤80, P >80) and analysis of the relationships between the score classes and structural variables; multivariate analysis of the data.
The shared contribution of environmental and structural variables in determining the composition of dependent plants decreased from plot level (49.1 %), to tree level (∼18 30 %).
Therefore, the analyses based on the 'overall score' indicator refer to all the questions; e) division of the 'overall score' variable into six classes (P <60, 60< P ≤65, 65< P ≤70, 70< P ≤75, 75< P ≤80, P >80) and analysis of the relationships between the score classes and structural variables; f) multivariate analysis of the data.
These approaches have established important compositional and structural variables that control lymphatic targeting of immuno-PEG liposomes and their application in experimental medicine and biology is discussed.
This diversity increased the credibility concerning the richness of the contextual and structural variables taken into account in the study.
For this reason and assuming that firm performance is directly and indirectly influenced by the structural variables of firms themselves and by their relations within the environment in which they are embedded (see, among others, Coda 1995), the research is aimed at exploring how these variables (structure and relations) may affect the results of farms engaged in social farming.
For grassland species, tall herbs and pioneers, we found that structural variables of the woody element itself were the most important driver.
Then the cost equation relating the capital and operating cost to the design variables, as well as the structural variables of the designed system have been introduced in the objective function.
