Author

A. T. Tredennick

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 4

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 3 Organism:plant (other)· 2 Approach:simulation· 1

Frequent Co-Authors

P. Adler· 2 shared P. B. Adler· 2 shared A. Kleinhesselink· 1 shared C. de Mazancourt· 1 shared F. Adler· 1 shared J. B. Taylor· 1 shared M. B. Hooten· 1 shared M. Loreau· 1 shared

Activity by Year

2015-2018 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 8 mutual co-author links

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2 shared papersEcology

P. Adler

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4 papers

Recent·Most cited

Ecosystem functional response across precipitation extremes in a sagebrush steppe

A. T. Tredennick, A. Kleinhesselink, J. B. Taylor, P. Adler

This study examines how ecosystem functional response to precipitation extremes changes over time in a sagebrush steppe, finding weak and uncertain relationships between soil moisture and productivity across treatments.

PeerJ · Mar 13, 2018Peer-reviewedEcology

The relationship between species richness and ecosystem variability is shaped by the mechanism of coexistence

A. T. Tredennick, P. Adler, F. Adler

The paper shows that species richness and ecosystem variability can have a positive relationship when coexistence mechanisms like the temporal storage effect and relative nonlinearity are considered.

bioRxiv · Mar 31, 2017Ecology

Environmental responses, not species interactions, determine synchrony of dominant species in semiarid grasslands

A. T. Tredennick, C. de Mazancourt, M. Loreau, P. B. Adler

The paper investigates factors determining synchrony in semiarid grassland species, finding environmental responses drive synchrony more than interactions or stochasticity.

bioRxiv · Jul 7, 2016Ecology

Do we need demographic data to forecast plant population dynamics?

A. T. Tredennick, M. B. Hooten, P. B. Adler

This study compares individual-level and population-level data models for forecasting plant population dynamics and finds percent cover models can be as accurate as demographic models when climate covariates are included.

bioRxiv · Aug 30, 2015Ecology