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We regressed the species performance indices against 13 crossing structure variables encompassing structural, landscape, and human activity.
Following variance partitioning, stand structure variables accounted for most of the explained variability (54.2%) while landscape characteristics accounted for only 28.7%.
Household structure variables include household size and the number of active members in the household.
We then show the effect of area-based structure variables on forest production.
Other neighbourhood structure variables were only occasionally significant or not significant at all.
Fig. 3 The four structure variables used in this study (Mingling, Dominance, Aggregation and Size Variation).
Area-based structure variables are used to describe a community within a defined plot area.
Landscape structure variables, derived from landscape ecology theory, are widely used in ecological studies.
Relations between functional types and landscape structure variables were analyzed with descriptive statistics.
In catchments with many bedrock outcrops, functional types were best explained by the landscape structure variables.
Farm structure variables study the relationships between the characteristics of municipal farming systems, farm management and provision of environmental goods.
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