Author

S. R. Schachat

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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Paleontology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:ecology & biodiversity· 1 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

C. K. Boyce· 2 shared J. L. Payne· 2 shared C. C. Labandeira· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersPaleontology

C. K. Boyce

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3 papers

Recent·Most cited

EcologybioRxivPreprintFeb 14, 2023

Sampling bias and the robustness of ecological metrics for plant-damage-type association networks: Comment

S. R. Schachat

The paper critiques a study claiming bipartite network metrics are robust to sampling bias, showing the claim relies on abandoning standard practices.

DOI 10.1101/2023.02.14.528448

plant (other)metagenomics

𝕏 PostBluesky

PaleontologybioRxivNov 5, 2021

Linking host plants to damage types in the fossil record of insect herbivory

S. R. Schachat, J. L. Payne, C. K. Boyce

The paper evaluates methods for linking insect damage types to host plants in fossil records, finding beta diversity and rarefaction of interactions to be more reliable than other metrics.

DOI 10.1017/pab.2022.35

statistical modelbenchmark study

𝕏 PostBluesky

PaleontologybioRxivJul 16, 2021

Generating and testing hypotheses about the fossil record of insect herbivory with a theoretical ecospace

S. R. Schachat, J. L. Payne, C. K. Boyce, C. C. Labandeira

The paper develops a theoretical ecospace framework to analyze insect herbivory in the fossil record and demonstrates a reliable method for estimating damage type diversity.

DOI 10.1016/j.revpalbo.2021.104564

statistical modelbenchmarking

𝕏 PostBluesky