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Variation in group spread can affect communication between individuals, synchrony of activity and collective decision-making. Most studies have measured this variation in large time scales, but the variables that influence group spread change as the social unit ranges over different areas throughout the day. Thus, our aim was to analyze the diurnal variation in group spread of a group of black capuchin monkeys (Sapajus nigritus) inhabiting an area within the southeastern Brazilian Atlantic Forest, the Carlos Botelho State Park. We measured group spread as the distance between the coordinates of the location of the two most distant group members every 5 min during entire days. Using time series analysis, we found that the group spread varied within short periods of time (15 min) throughout the day, revolving around the average group spread distance of 36 m. Group members tended to decrease the interindividual distance over time when they were more than 36 m apart, and to increase the distance when they were at a distance of less than 36 m. In addition, group spread was higher when monkeys were eating fruit than during other activities. We conclude that the variation in group spread may reflect competition for discrete food resources and that increasing cohesion several times throughout the day can be a way of resuming social contact between individuals.
相似文献The building sector is one of the most relevant sectors in terms of environmental impact. Different functional units (FUs) can be used in life cycle assessment (LCA) studies for a variety of purposes. This paper aimed to present different FUs used in the LCA of buildings and evaluate the influence of FU choice and setting in comparative studies.
MethodsAs an example, we compared the “cradle to grave” environmental performance of four typical Brazilian residential buildings with different construction typologies, i.e., multi-dwelling and single dwelling, each with high and basic standards. We chose three types of FU for comparison: a dwelling with defined lifetime and occupancy parameters, an area of 1 m2 of dwelling over a year period, and the accommodation of an occupant person of the dwelling over a day.
Results and discussionThe FU choice was found to bias the results considerably. As expected, the largest global warming indicator (GWi) values per dwelling unit and occupant were identified for the high standard dwellings. However, when measured per square meter, lower standard dwellings presented the largest GWi values. This was caused by the greater concentration of people per square meter in smaller area dwellings, resulting in larger water and energy consumption per square meter. The sensitivity analysis of FU variables such as lifetime and occupancy showed the GWi contribution of the infrastructure more relevant compared with the operation in high and basic standard dwellings. The definition of lifetime and occupancy parameters is key to avoid bias and to reduce uncertainty of the results when performing a comparison of dwelling environmental performances.
ConclusionsThis paper highlights the need for adequate choice and setting of FU to support intended decision-making in LCA studies of the building sector. The use of at least two FUs presented a broader picture of building performance, helping to guide effective environmental optimization efforts from different approaches and levels of analysis. Information regarding space, time, and service dimensions should be either included in the FU setting or provided in the building LCA study to allow adjustment of the results for subsequent comparison.
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