Author

E. L. Loudermilk

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· 3 Approach:experimental assay· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

S. Pokswinski· 4 shared J. K. Hiers· 3 shared A. T. Hudak· 2 shared C. M. Hawley· 2 shared J. Dell· 2 shared J. J. O'Brien· 2 shared L. Dyer· 2 shared L. Richards· 2 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersEcology

S. Pokswinski

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4 papers

Recent·Most cited

Terrestrial laser scan metrics predict surface vegetation biomass and consumption in a frequently burned southeastern U.S. ecosystem

E. L. Loudermilk, S. Pokswinski, C. M. Hawley, A. Maxwell, M. R. Gallagher, N. S. Skowronski, A. T. Hudak, C. Hoffman, J. K. Hiers

The paper uses terrestrial laser scan metrics to predict understory vegetation biomass and consumption in a southeastern U.S. ecosystem after prescribed fires.

bioRxiv · Jan 15, 2023Ecology

Coupling Terrestrial Laser Scanning with 3D Fuel Biomass Sampling for Advancing Wildland Fuels Characterization

E. Rowell, E. L. Loudermilk, C. M. Hawley, S. Pokswinski, C. Seielstad, L. P. Queen, J. J. O'Brien, A. T. Hudak, S. L. Goodrick, J. K. Hiers

This study combines 3D field sampling with terrestrial laser scanning to predict fine-scale fuel mass in vegetation, improving wildland fire modeling.

bioRxiv · Sep 18, 2019Ecology

Simulating groundcover community assembly in a frequently burned ecosystem using a simple neutral model

E. L. Loudermilk, L. Dyer, S. Pokswinski, A. Hudak, B. Hornsby, L. Richards, J. Dell, S. L. Goodrick, J. K. Hiers, J. J. O'Brien

The paper uses a neutral model to simulate groundcover community assembly in a frequently burned ecosystem and finds dispersal limitation is the most influential parameter.

bioRxiv · May 10, 2019Ecology

Scale dependent patterns in interaction diversity maintain resiliency in a frequently disturbed ecosystem

J. Dell, D. Salcido, W. Lumpkin, L. Richards, S. Pokswinski, E. L. Loudermilk, J. O'Brien, L. Dyer

The paper examines how fire frequency affects interaction diversity and ecosystem resiliency in longleaf pine ecosystems, finding that higher fire frequency increases local turnover in interaction diversity, enhancing immediate resiliency.

bioRxiv · Jan 23, 2019 · PreprintEcology