Canonical correlation between groups of acarine, fungal and environmental variables in bulk grain ecosystems

Summary Interrelations among acarine, fungal, and environmental components of bulk grain ecosystems were determined by canonical correlation analyses. Twenty-seven variables were measured monthly in samples collected from 2 identical grain bulks in a granary in Winnipeg during the years 1959–67. The relationships between 9 kinds of arthropods and 6 environ mental variables, and between the same arthropods and 12 kinds of actinomycetes and fungi were examined. The maximum canonical correlation between arthropods and environmental factors was 0.35, and between arthropods and microorganisms was 0.28; both are highly significant (p<0.001). In the first analysis correlations of the variables with the canonical variates revealed that correlations of the variables with the canonical variates revealed that sampling location, depth, and temperature are the primary environmental antecedents involved, and the criterion is primarily composed of mitesTarsonemus spp.,Tydeus interruptus and the psocid,Lepinotus reticulatus. In the second analysis the fungiNigrospora sphaerica, Aspergillus spp., andCochliobolus sativus are involved with the mitesCheyletus eruditus andAcarus siro. Generally, the results of these analyses complement the findings of factor and regression analyses of the same data reported earlier. Contribution No. 337 from the Research Station, Canada Department of Agriculture, Winnipeg, Manitoba.     

Diversity in place: narrations of diversity in an ethnically mixed,urban area

ABSTRACT

This paper explores the implications of representations of places as ‘diverse’, particularly for those who live in them. Arising from an interdisciplinary research project, the paper takes one neighbourhood in Manchester (Cheetham Hill) and explores some of the narratives about it produced by residents and those who have a ‘professional’ stake in the area. These are put in the context of public narratives of the area, as well as Census data. The paper examines how different types of data generate different stories and how different methodological approaches can produce varied understandings of place, which have implications for how a place comes to be known and for the potential impact on the distribution of resources. Cheetham Hill is known as ‘diverse’, or even ‘super-diverse’, but the paper examines how this label serves to obscure lived experience and inequalities and can reveal ambivalences over the ethnic difference and urban living.     

Trust and Information Sharing in Supply Chains

Drawing on behavioral research, we construct a multi‐period model with which to examine the role of trust and other social characteristics in a supply chain. Specifically, we focus on trust building in the context of a salesperson who acts as a representative of a manufacturer and shares demand forecast information with a retailer. The actions of the salesperson affect both her immediate economic gain and her future credibility as determined by retailer's trust. Our analysis reveals that, in such environments, although salespersons of widely varying types (e.g., honest, self‐serving, benevolent, loyal) lie some extent about their forecast information, they tend to be trusted in long relationships, provided their forecasting accuracy is higher than that of the retailer. Furthermore, while the presence of a salesperson can improve the profits of both the retailer and manufacturer, there are cost structures under which the manufacturer is better off without a salesperson. Finally, we make the general observation that the appropriate salesperson compensation scheme depends on her social characteristics, and the specific observation that when the salesperson cares for the retailer, the linear compensation scheme commonly suggested in the literature as the optimal compensation scheme for the salesperson is no longer optimal.