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The New Phytologist|August 29, 2018
Carbon gain phenologies of spring-flowering perennials in a deciduous forest indicate a novel niche for a widespread invaderJ Mason Heberling, Steven T Cassidy, Jason D Fridley, et al.Proceedings of the National Academy of Sciences of the United States of America|February 2, 2021
Data integration enables global biodiversity synthesisJ Mason Heberling, Joseph T Miller, Daniel Noesgaard, et al.Ecology Letters|February 5, 2019
Phenological mismatch with trees reduces wildflower carbon budgetsJ Mason Heberling, Caitlin McDonough MacKenzie, Jason D Fridley, et al.Frontiers in Plant Science|February 3, 2022
Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science ImagesRachel A Reeb, Naeem Aziz, Samuel M Lapp, et al.American Journal of Botany|April 25, 2024
Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North AmericaAbby J Yancy, Benjamin R Lee, Sara E Kuebbing, et al.Nature Communications|November 23, 2022
Wildflower phenological escape differs by continent and spring temperatureBenjamin R Lee, Tara K Miller, Christoph Rosche, et al.American Journal of Botany|November 10, 2021
Macrophenology: insights into the broad-scale patterns, drivers, and consequences of phenologyAmanda S Gallinat, Elizabeth R Ellwood, J Mason Heberling, et al.Ecology Letters|January 31, 2022
Fast but steady: An integrated leaf-stem-root trait syndrome for woody forest invadersJason D Fridley, Taryn L Bauerle, Alaä Craddock, et al.Bioscience|July 16, 2020
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological ResearchKatelin D Pearson, Gil Nelson, Myla F J Aronson, et al.Pageof 2