Author

L. Monika Moskal

University of WashingtonORCID 0000-0003-1563-6506Unclaimed 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

Frequent Co-Authors

Keenan J. GanziD· 1 shared Liz van WagtendonkiD· 1 shared Pratima Khatri‐ChhetriiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Keenan J. GanzORCID

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1 paper

Recent·Most cited

EcologybioRxivPreprintNov 19, 2025

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.

1 citation

imagingstatistical model

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