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While the amount of each plant material varied significantly along the land-cover gradient, foliar optical properties remained relatively stable, supporting the hypothesis that resource variation (e.g., water and nutrients) is more strongly resolved at the scale of whole plant canopies (e.g., via allocation and production) than at the leaf level.
On the other hand, if some application is not elastic enough to handle resource variation, e.g. nodes being de-allocated because the price is too high, a higher budget may need to be allocated to make sure the application runs at some minimal level of allocation.
This controlled for behavioural differences due to resource variation, while also mimicking selection conditions.
Such data are well suited for analyses aiming to determine the importance of resource variation for selection on key female life-history traits.
In either case, the results indicate that Laysan albatrosses are able to assess resource variation and alter their foraging strategies accordingly throughout their reproductive cycle as has been shown for other species [5], [6], [7], [31], [32], [33].
Much less is currently known concerning how resource variation affects the strength and direction of selection on human life history, despite this being one of the basic premises of life-history theory.
Similar(40)
An optimization algorithm is utilized to support the design defining generation (number, type and location of generators, controllers, batteries and inverters) and distribution (electric networks) systems considering the detail of resource variations.
In this study we present an enhanced deterministic heuristic and then a meta-heuristic procedure for designing community off-grid electrification projects based on renewable energies considering micro-scale resource variations and a combination of independent generation points and microgrids.
This study presents a heuristic method to design off-grid electrification projects based on wind and solar energies considering micro-scale resource variations and a combination of independent generation points and microgrids.
It is one thing to assess the efficacy of an intervention within the context of a structured clinical trial setting, but entirely different to evaluate that intervention in ordinary clinical practices with resource variations, variable patient adherence, and sociodemographic and cultural differences.
This approach changes a customer-centered needs analysis way into a way of needs generation triggered by resources variation in super system, decreases obstacles of innovation caused by the condition that customers don't know what they want in the future.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com