Winslow Hansen

Forest-Wide Growth Rates Stabilize After Experiencing Accelerated Temperature Changes Near an Alaskan Glacier
Gaglioti, BV, DH Mann, GC Wiles, L Andreu-Hayles, Winslow D. Hansen, and N Wiesenberg. 2024. “Forest-Wide Growth Rates Stabilize After Experiencing Accelerated Temperature Changes Near an Alaskan Glacier”. GEOPHYSICAL RESEARCH LETTERS 51 (16). doi:10.1029/2024GL109469.
Forest Carbon Storage in the Western United States: Distribution, Drivers, and Trends
Hall, Jazlynn, Manette E Sandor, BJ Harvey, SA Parks, AT Trugman, AP Williams, and Winslow D. Hansen. (2024) 2024. “Forest Carbon Storage in the Western United States: Distribution, Drivers, and Trends”. EARTHS FUTURE 12 (7). doi:10.1029/2023EF004399.
Factors limiting the potential range expansion of lodgepole pine in Interior Alaska
Walker, Xanthe J., Sarah Hart, Winslow D. Hansen, Mélanie Jean, Carissa D. Brown, Stuart Chapin, Rebecca Hewitt, Teresa N. Hollingsworth, Michelle C. Mack, and Jill F. Johnstone. 2024. “Factors Limiting the Potential Range Expansion of Lodgepole Pine in Interior Alaska”. Ecological Applications. Wiley. doi:10.1002/eap.2983.
Successional dynamics of carbon sequestration in forests of the eastern United States
Canham, Charles D., L Murphy, and Winslow D. Hansen. 2024. “Successional Dynamics of Carbon Sequestration in Forests of the Eastern United States”. Ecosphere 15 (4). Wiley. doi:10.1002/ecs2.4838.
Do Vegetation Fuel Reduction Treatments Alter Forest Fire Severity and Carbon Stability in California Forests?
Daum, KL, Winslow D. Hansen, J Gellman, AJ Plantinga, C Jones, and AT Trugman. (2024) 2024. “Do Vegetation Fuel Reduction Treatments Alter Forest Fire Severity and Carbon Stability in California Forests?”. EARTHS FUTURE 12 (3). doi:10.1029/2023EF003763.
SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States
Buch, Jatan, Park Williams, Caroline S. Juang, Winslow D. Hansen, and Pierre Gentine. 2023. “SMLFire1.0: A Stochastic Machine Learning (SML) Model for Wildfire Activity in the Western United States”. Geoscientific Model Development 16 (12). Copernicus GmbH: 3407-33. doi:10.5194/gmd-16-3407-2023.
The Permafrost and Organic LayEr module for Forest Models (POLE-FM) 1.0
Hansen, Winslow D., A Foster, B Gaglioti, R Seidl, and W Rammer. 2023. “The Permafrost and Organic LayEr Module for Forest Models (POLE-FM) 1.0”. GEOSCIENTIFIC MODEL DEVELOPMENT 16 (7): 2011-36. doi:10.5194/gmd-16-2011-2023.
Growing impact of wildfire on western US water supply
Williams, Park, Ben Livneh, Karen A. McKinnon, Winslow D. Hansen, Justin S. Mankin, Benjamin I. Cook, Jason E. Smerdon, et al. 2022. “Growing Impact of Wildfire on Western US Water Supply”. Proceedings of the National Academy of Sciences 119 (10). Proceedings of the National Academy of Sciences: e2114069119+. doi:10.1073/pnas.2114069119.
Global forests are influenced by the legacies of past inter-annual temperature variability
Hansen, Winslow D., Naomi B Schwartz, Park Williams, Katharina Albrich, Lara M Kueppers, Anja Rammig, Christopher P O Reyer, Carla Staver, and Rupert Seidl. 2022. “Global Forests Are Influenced by the Legacies of past Inter-Annual Temperature Variability”. Environmental Research: Ecology 1 (1). IOP Publishing: 011001. doi:10.1088/2752-664x/ac6e4a.
The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation
Hansen, Winslow D., Meg A. Krawchuk, Anna T. Trugman, and Park Williams. 2022. “The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and Evaluation”. Environmental Modelling &Amp; Software 156. Elsevier BV: 105473. doi:10.1016/j.envsoft.2022.105473.