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J. Timothy Wootton

Researcher at University of Chicago

Publications -  67
Citations -  6076

J. Timothy Wootton is an academic researcher from University of Chicago. The author has contributed to research in topics: Population & Ecosystem. The author has an hindex of 36, co-authored 67 publications receiving 5722 citations. Previous affiliations of J. Timothy Wootton include University of Washington.

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Dynamic patterns and ecological impacts of declining ocean pH in a high-resolution multi-year dataset.

TL;DR: P pH decline is proceeding at a more rapid rate than previously predicted in some areas, and this decline has ecological consequences for near shore benthic ecosystems, according to a high-resolution dataset spanning 8 years.
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Predicting direct and indirect effects: an integrated approach using experiments and path analysis'

J. Timothy Wootton
- 01 Jan 1994 - 
TL;DR: Using an approach combining experimental perturbations and path analysis, the mechanisms by which birds directly and indirectly affected other members of an intertidal community were examined, alternative causal hypotheses were evaluated, and whether interactions among other unmanipulated species would be strong or weak were predicted.
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Measurement of interaction strength in nature

TL;DR: Methods for estimating interaction strength efficiently from traits of organisms, such as allometric relationships, show some promise and methods for estimating community response to environmental perturbations without an estimate of interaction strength may also be of use.
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Effects of Disturbance on River Food Webs

TL;DR: In this article, a multitrophic model integrating the effects of flooding disturbance and food web interactions in rivers predicted that removing floods would cause increases of predator-resistant grazing insects, which would divert energy away from the food chain leading to predatory fish.
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Indirect effects and habitat use in an intertidal community: interaction chains and interaction modifications

TL;DR: In this paper, the degree to which indirect effects can be predicted from a knowledge of pairwise interactions can be determined, and the mechanisms that cause interaction modifications can be identified to aid in future prediction.