Resource distribution, through its effects on individual foraging and survival, drives population dynamics across the landscape.
The analysis of the residence time by Cox's proportional hazard model [34] [36] (see the "Materials and Methods" section) supported our previous results: opening a filled chest decreased this tendency regardless of the resource distribution (Table 2; the effect of the resource distribution – not shown – was not significant).
In contrast, Hutchings and Wijesinghe (2008) observed resource distribution having a distinct effect on overall population level yield.
Even without explicit plastic root responses such as altered root length, root demography etc. (see Hodge 2004, 2006), it is shown that resource distribution could have significant effects on the outcomes of different growth scenarios, with competitive growth being significantly influenced by resource heterogeneity.
Shore and Shore (1995) suggested that repeated instances of fairness in decisions concerning resource distribution should have a strong cumulative effect on POS by indicating a concern for employees' welfare [ 47].
It has been variously suggested that home range size and configuration of large carnivores is influenced by patterns of resource distribution [7], [37], and by social effects [19].
The impact of habitat fragmentation on organisms varies according to intrinsic factors (e.g. flight ability), extrinsic factors (e.g. resource distribution across the landscape) and interaction effects between both factors [ 15].
In Croft et al. (2012), an idealized 1D model of plant growth, root proliferation, resource capture and inter-plant competition was developed and shown to match SDE representations; this model was used to study the effects of spatial heterogeneity in resource distribution on the evolutionarily optimal root proliferation strategy in monocultures.
The results underline the fact that the effects of growth strategy, competition and resource distribution on individuals, populations and communities are intrinsically interlinked.
VM placement also effect the communication between applications and physical resource distribution in cloud computing CPSs.
Special attention is given to predicting the effect of changing the mean and variance of resource distribution over patches in a habitat.
