Author

B. W. Allred

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· 7

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 7 Approach:statistical model· 6 Assay:imaging· 4 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:spatial domain detection· 2 Research Focus:deconvolution· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

D. E. Naugle· 7 shared J. D. Maestas· 7 shared M. O. Jones· 5 shared J. T. Smith· 4 shared S. L. Morford· 4 shared C. S. Boyd· 3 shared K. W. Davies· 3 shared A. R. Kleinhesselink· 2 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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7 shared papersEcology

D. E. Naugle

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Author profile →

7 papers

Recent·Most cited

Mapping Tree Cover Expansion in Montana, U.S.A. Rangelands using High-Resolution Historical Aerial Imagery

S. L. Morford, B. W. Allred, E. R. Jensen, J. D. Maestas, K. R. Mueller, C. L. Pacholski, J. T. Smith, J. D. Tack, K. N. Tackett, D. E. Naugle

The paper estimates conifer tree cover expansion in Montana rangelands using historical and modern aerial imagery with a convolutional neural network, finding 3.0 million hectares of expansion.

bioRxiv · Dec 28, 2022Ecology

Regional context for balancing sagebrush- and woodland-dependent songbird needs with targeted pinyon-juniper management in the sagebrush biome

J. D. Tack, J. T. Smith, K. E. Doherty, P. J. Donnelly, J. D. Maestas, B. W. Allred, J. Reinhardt, S. L. Morford, D. E. Naugle

The paper models habitat use for sagebrush- and pinyon-juniper-dependent songbirds to show that sage grouse restoration can coexist with pinyon jay protection through targeted conifer management.

bioRxiv · May 3, 2022Ecology

Where there's smoke, there's fuel: dynamic vegetation data improve predictions of wildfire hazard in the Great Basin

J. T. Smith, B. W. Allred, C. S. Boyd, K. W. Davies, M. O. Jones, A. R. Kleinhesselink, J. D. Maestas, D. E. Naugle

This study uses dynamic vegetation data and machine learning to predict wildfire hazard in the Great Basin, finding that fire probability is strongly linked to vegetation biomass, bare ground cover, and drought indices.

bioRxiv · Jun 25, 2021Ecology

Herbaceous production lost to tree encroachment in United States rangelands.

S. L. Morford, B. W. Allred, D. Twidwell, M. O. Jones, J. D. Maestas, C. P. Roberts, D. E. Naugle

This study quantifies the loss of herbaceous production due to tree encroachment in U.S. rangelands from 1990 to 2019, showing significant ecological and economic impacts.

bioRxiv · Apr 2, 2021Ecology

The elevational ascent and spread of exotic annual grass dominance in the Great Basin, USA

J. T. Smith, B. W. Allred, C. S. Boyd, K. W. Davies, M. O. Jones, J. D. Maestas, S. L. Morford, D. E. Naugle, A. R. Kleinhesselink

The paper quantifies the rapid expansion of exotic annual grass dominance in the Great Basin, showing an eight-fold increase in area and spread into higher elevations and north-facing slopes.

bioRxiv · Jan 5, 2021Ecology

Annual and 16-day rangeland production estimates for the western United States

M. O. Jones, N. P. Robinson, D. E. Naugle, J. D. Maestas, M. C. Reeves, R. W. Lankston, B. W. Allred

The paper provides annual and 16-day estimates of herbaceous rangeland production in the western U.S. from 1986-2019 using remote sensing data.

bioRxiv · Nov 6, 2020Ecology

Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty

B. W. Allred, B. T. Bestelmeyer, C. S. Boyd, C. Brown, K. W. Davies, L. M. Ellsworth, T. A. Erickson, S. D. Fuhlendorf, T. V. Griffiths, V. Jansen, M. O. Jones, J. Karl, J. D. Maestas, J. J. Maynard, S. E. McCord, , D. R. Uden

The paper improves rangeland fractional cover predictions using multitask learning and provides pixel-level uncertainty estimates, enhancing management tools with better accuracy and confidence measures.

bioRxiv · Jun 10, 2020Ecology