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Thomas J. Valone

Researcher at Saint Louis University

Publications -  77
Citations -  8122

Thomas J. Valone is an academic researcher from Saint Louis University. The author has contributed to research in topics: Abundance (ecology) & Foraging. The author has an hindex of 41, co-authored 77 publications receiving 7661 citations. Previous affiliations of Thomas J. Valone include University of Illinois at Chicago & University of Rochester.

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Competition theory and the structure of ecological communities

TL;DR: Analysis of multispecies assemblages of granivorous rodents, bird-eating hawks, Anolis and sexual lizards, show that in these assemblage very small ratios are observed less often than expected by chance.
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Reduced rodent biodiversity destabilizes plant populations.

TL;DR: It is demonstrated that the loss of species at one trophic level can lead to reduced richness at lower trophics levels via competition and reduced temporal stability, and that the decline in the temporal stability of small-seeding plants likely resulted from increased interspecific competition by large-seeded plants.
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Food-associated calls as public information about patch quality

Thomas J. Valone
- 01 Oct 1996 - 
TL;DR: The hypothesis that food-associated calls represent auditory patch quality information makes several predictions about the likelihood that foragers who are not in visual contact with other group members, do not initiate group movements, or are hungry, should be most likely to give food- associated calls.
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Interactions between rodents and ants in the Chihuahuan Desert: An update

TL;DR: (1) Field testing engineered organisms: genetic and ecological issues; (2) New developments in biotechnology.
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The empirical question of thresholds and mechanisms of mate choice.

TL;DR: It is suggested that future empirical work strive not to document mating thresholds per se, but that future work might best reveal decision rules by manipulating the distribution of quality among potential mates; such manipulations predict uniquely how females using sample-based and threshold-based decision rules should behave.