Author

J. T. Abatzoglou

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

A. L. Mahood· 1 shared A. T. Trugman· 1 shared D. Cullenward· 1 shared G. Badgley· 1 shared J. A. Hicke· 1 shared J. Freeman· 1 shared J. J. Hamman· 1 shared J. K. Balch· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

A. L. Mahood

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2 papers

Recent·Most cited

Climate risks to carbon sequestration in US forests

W. R. L. Anderegg, O. S. Chegwidden, G. Badgley, A. T. Trugman, D. Cullenward, J. T. Abatzoglou, J. A. Hicke, J. Freeman, J. J. Hamman

The paper quantifies climate-driven risks to forest carbon sequestration in the US, projecting increased wildfire, drought, and insect disturbances under different emission scenarios.

bioRxiv · May 11, 2021 · PreprintEcology

Spatiotemporal prediction of wildfire extremes with Bayesian finite sample maxima

M. B. Joseph, M. W. Rossi, N. P. Mietkiewicz, A. L. Mahood, M. E. Cattau, L. A. St. Denis, R. C. Nagy, V. Iglesias, J. T. Abatzoglou, J. K. Balch

This study predicts wildfire extremes in the contiguous US using Bayesian models, finding dryness, temperature, and housing density strongly influence fire occurrence and size.

bioRxiv · Feb 16, 2019Ecology