| Induction of Phenolic Glycosides by Quaking Aspen (Populus tremuloides) Leaves in Relation to Extrafloral Nectaries and Epidermal Leaf Mining B Young, D Wagner, P Doak, T Clausen Journal of chemical ecology 36, 369-377, 2010 | 27 | 2010 |
| Effects of species and tree size diversity on recruitment in the Alaskan boreal forest: a geospatial approach B Young, J Liang, FS Chapin III Forest ecology and management 262 (8), 1608-1617, 2011 | 26 | 2011 |
| Within‐plant distribution of phenolic glycosides and extrafloral nectaries in trembling aspen (Populus tremuloides; Salicaceae) B Young, D Wagner, P Doak, T Clausen American journal of Botany 97 (4), 601-610, 2010 | 26 | 2010 |
| Modeling and mapping forest diversity in the boreal forest of interior Alaska B Young, J Yarie, D Verbyla, F Huettmann, K Herrick, FS Chapin Landscape Ecology 32, 397-413, 2017 | 25 | 2017 |
| Seven decades of change in forest structure and composition in Pinus resinosa forests in northern Minnesota, USA: Comparing managed and unmanaged conditions BD Young, AW D'Amato, CC Kern, DN Kastendick, BJ Palik Forest Ecology and Management 395, 92-103, 2017 | 17 | 2017 |
| Predicting multi-species bark beetle (Coleoptera: Curculionidae: Scolytinae) occurrence in Alaska: First use of open access big data mining and open source GIS to provide … K Zabihi, F Huettmann, B Young Biodiversity Informatics 16 (1), 1-19, 2021 | 15 | 2021 |
| Use of machine learning (ML) for predicting and analyzing ecological and ¡presence only¢data: an overview of applications and a good outlook F Huettmann, EH Craig, KA Herrick, AP Baltensperger, GRW Humphries, ... Machine learning for ecology and sustainable natural resource management, 27-61, 2018 | 14 | 2018 |
| The so-called modern ¡sustainable forestry¢destroys wilderness, old-growth forest landscapes and ecological services worldwide: A short first-hand review and global narrative … F Huettmann, BD Young Forest Dynamics and Conservation: Science, Innovations and Policies, 53-82, 2022 | 12 | 2022 |
| Mapping aboveground biomass of trees using forest inventory data and public environmental variables within the Alaskan boreal forest BD Young, J Yarie, D Verbyla, F Huettmann, F Stuart Chapin Machine learning for ecology and sustainable natural resource management …, 2018 | 9 | 2018 |
| Clearcutting and site preparation, but not planting, promoted early tree regeneration in boreal Alaska M Morimoto, G Juday, B Young Forests 8 (1), 12, 2016 | 6 | 2016 |
| Early tree regeneration is consistent with sustained yield in low-input boreal forest management in Alaska M Morimoto, GP Juday, BD Young Forest Ecology and Management 373, 116-127, 2016 | 3 | 2016 |
| Diversity in the boreal forest of Alaska: distribution and impacts on ecosystem services BD Young University of Alaska Fairbanks, 2012 | 2 | 2012 |
| Early white spruce regeneration treatments increase birch and reduce aspen after 28 years: Toward an integrated management of boreal post-fire salvaged stands AC Allaby, GP Juday, BD Young Forest ecology and management 403, 79-95, 2017 | 1 | 2017 |
| Alaska Monthly Average Precipitation in 2010 K Zabihi, F Huettmann, B Young United States Department of Agriculture-US Forest Service, 2020 | | 2020 |
| Model 2 (Figure 3) K Zabihi, F Huettmann, B Young | | 2020 |
| Final Map (Figure 7) K Zabihi, F Huettmann, B Young | | 2020 |
| Model 3 (Appendix IV) K Zabihi, F Huettmann, B Young | | 2020 |
| Binary Map (Figure 6) K Zabihi, F Huettmann, B Young | | 2020 |
| Alaska Map of Bark Beetle Pseudo-Absence K Zabihi, F Huettmann, B Young | | 2019 |
| Alaska Map of 1-km Space Grid Points K Zabihi, F Huettmann, B Young | | 2019 |
