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Matthew G. Betts

Oregon State University

SCHOLARLY PAPERS

3

DOWNLOADS

141

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Local Forest Inventory Data Improve Species Distribution Model Predictions

Number of pages: 70 Posted: 16 Jan 2024
Nicolò Anselmetto, Donato Morresi, Simona Barbarino, Nicola Loglisci, Matthew G. Betts and Matteo Garbarino
University of Turin, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Oregon State University and University of Turin
Downloads 80 (809,932)

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climate change, mountain forest ecosystems, regional climate models, local inventories, spatial scales, species distribution models

2.

Disturbance Type Shapes Initial Community Assembly Patterns of Early Seral Forest Ground Beetles in Southwest Oregon

Number of pages: 50 Posted: 18 Jun 2025
Graham S. Frank, James R. LaBonte, Matthew G. Betts, Andrew J. Kroll, James Rivers, Jake Verschuyl, Mark E. Swanson and Meg A. Krawchuk
Oregon State University, Independent, Oregon State University, affiliation not provided to SSRN, Oregon State University, affiliation not provided to SSRN, Oregon State University and Oregon State University
Downloads 31 (1,318,317)

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carabids, high-severity fire, intensive forest management, salvage logging, early successional forest, Klamath Mountains

3.

Beyond RMSE: The GEDI Imputed Waveform product minimizes artificial homogeneity evident in existing global forest height maps

Number of pages: 49 Posted: 04 Apr 2026
Eugene Seo, Sean P. Healey, Zhiqiang Yang, John Armston, Ralph Dubayah, Simon Ilyushchenko, Tiago De Conto and Matthew G. Betts
Oregon State University, USDA Forest Service, USDA Forest Service, University of Maryland, College Park, University of Maryland, College Park, affiliation not provided to SSRN, University of Maryland and Oregon State University
Downloads 30 (1,385,945)

Abstract:

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GEDI, GEDI L4D Imputed Waveform, Canopy height maps, Forest vertical structure, Forest height variability, RMSE, Population-level accuracy