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Michael A. Steele

Researcher at Wilkes University

Publications -  82
Citations -  3332

Michael A. Steele is an academic researcher from Wilkes University. The author has contributed to research in topics: Seed dispersal & Acorn. The author has an hindex of 27, co-authored 74 publications receiving 2863 citations. Previous affiliations of Michael A. Steele include University of Pennsylvania.

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Does multiple seed loading in Blue Jays result in selective dispersal of smaller acorns

TL;DR: It is predicted that jays foraging on smaller acorns will load more seeds per trip and disperse seeds to greater distances than when single acorns are carried in the bill, and that in some circumstances, multiple seed loading by Blue Jays may favor dispersal in some plant species.
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Squirrel-Seed Interactions: The Evolutionary Strategies and Impact of Squirrels as Both Seed Predators and Seed Dispersers

TL;DR: The evidence for how forest composition influences interactions between squirrels and seed trees and the role of squirrels as either seed predators or seed dispersers is reviewed and how the squirrel’s role shifts to one of seed disperser in hardwood forests is shown.
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Hoarding without reward: Rodent responses to repeated episodes of complete cache loss

TL;DR: Variation in responses observed across species and gender suggest some degree of behavioural plasticity to compensate for such extreme losses, but a general inability to abandon hoarding or shift to an alternative strategy.
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The use of spatial memory for cache management by a scatter-hoarding rodent

TL;DR: It is demonstrated that Siberian chipmunks will first bury caches and then avoid their own caches in subsequent foraging, pilfering, and caching activity, suggesting that they use spatial memory to conserve their own cache.
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Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery

Tong Qiu, +102 more
TL;DR: In this article , a synthesis of fecundity data from 714 species worldwide allowed them to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees.