Author

A. K. Schweiger

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· 5

Signature Assays, Organisms & Methods

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Assay:imaging· 5 Organism:plant (other)· 4 Approach:statistical model· 4 Research Focus:ecology & biodiversity· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

H. Gholizadeh· 3 shared J. Cavender-Bares· 3 shared P. A. Townsend· 3 shared C. Lapadat· 2 shared E. Laliberte· 2 shared J. A. Gamon· 2 shared S. Kothari· 2 shared A. Bruneau· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersEcology

H. Gholizadeh

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Author profile →

5 papers

Recent·Most cited

Predicting leaf traits across functional groups using reflectance spectroscopy

S. Kothari, R. Beauchamp-Rioux, F. Blanchard, A. L. Crofts, A. Girard, X. Guilbeault-Mayers, P. W. Hacker, J. Pardo, A. K. Schweiger, S. Demers-Thibeault, A. Bruneau, N. C. Coops, M. Kalacska, M. Vellend, E. Laliberte

The paper develops models to predict leaf traits from reflectance spectra across functional groups and ecosystems, finding high accuracy for some traits but lower for others.

bioRxiv · Jul 1, 2022Ecology

Remotely detected plant function in two midwestern prairie grassland experiments reveals belowground processes

J. Cavender-Bares, A. K. Schweiger, J. A. Gamon, H. Gholizadeh, K. Helzer, C. Lapadat, M. Madritch, P. A. Townsend, Z. Wang, S. E. Hobbie

The paper uses imaging spectroscopy to link aboveground vegetation properties with belowground soil processes in two grassland experiments, finding contrasting relationships based on ecosystem productivity and diversity.

bioRxiv · Sep 8, 2021Ecology

Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination

G. Sapes, C. Lapadat, A. K. Schweiger, J. Juzwik, R. Montgomery, H. Gholizadeh, P. A. Townsend, J. Gamon, J. Cavender-Bares

This study uses canopy spectral reflectance and phylogenetic analysis to detect oak wilt disease in forests with high accuracy.

bioRxiv · Jan 17, 2021Ecology

Coupling spectral and resource-use complementarity in experimental grassland and forest communities

A. K. Schweiger, J. Cavender-Bares, S. Kothari, P. A. Townsend, M. D. Madritch, J. J. Grossman, H. Gholizadeh, R. Wang, J. A. Gamon

The paper links plant spectral variation to ecosystem productivity by analyzing spectral and resource-use complementarity in grassland and forest communities.

bioRxiv · Apr 24, 2020Ecology

Partitioning plant spectral diversity into alpha and beta components

E. Laliberte, A. K. Schweiger, P. Legendre

The paper partitions plant spectral diversity into alpha and beta components using spectral variance to identify hotspots and spectrally unique areas for conservation.

bioRxiv · Oct 29, 2019Ecology