Author

Keenan J. Ganz

University of WashingtonORCID 0000-0002-8486-3959Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

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L. Monika MoskaliD· 1 shared Liz van WagtendonkiD· 1 shared Pratima Khatri‐ChhetriiD· 1 shared

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2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

L. Monika MoskalORCID

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1 paper

Recent·Most cited

Spatially explicit forest mortality forecasts are driven by autocorrelation, not ecological context

Keenan J. Ganz, Liz van Wagtendonk, Pratima Khatri‐Chhetri, L. Monika Moskal

This study shows that forest mortality forecasts using remote sensing data are driven by autocorrelation rather than ecological context, and highlights biases in aerial surveys.

bioRxiv · Nov 19, 2025 · PreprintEcology