Charles G. Willis, Ph.D.
Affiliations: | 2013 | Biology | Duke University, Durham, NC |
Area:
Ecological geneticsGoogle:
"Charles Willis"Parents
Sign in to add mentor| Kathleen Donohue | grad student | 2013 | Duke | |
| (The Role Of Dispersal And Adaptive Divergence In The Diversification And Speciation Of The Tribe Brassiceae And Genus Cakile.) | ||||
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Publications
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| Daru BH, Davies TJ, Willis CG, et al. (2021) Widespread homogenization of plant communities in the Anthropocene. Nature Communications. 12: 6983 |
| Park DS, Willis CG, Xi Z, et al. (2020) Machine Learning Predicts Large Scale Declines in Native Plant Phylogenetic Diversity. The New Phytologist |
| Zhang C, Li J, Willis CG, et al. (2020) Among-population variation in seed mass for 190 Tibetan plant species: Phylogenetic pattern and ecological correlates Global Ecology and Conservation. 23 |
| Ellwood ER, Primack RB, Willis CG, et al. (2019) Phenology models using herbarium specimens are only slightly improved by using finer-scale stages of reproduction. Applications in Plant Sciences. 7: e01225 |
| Ma Z, Willis CG, Zhang C, et al. (2019) Direct and indirect effect of seed size on seedling survival along an experimental light availability gradient Agriculture, Ecosystems & Environment. 281: 64-71 |
| Zhang C, Willis CG, Ma Z, et al. (2019) Direct and indirect effects of long-term fertilization on the stability of the persistent seed bank Plant and Soil. 438: 239-250 |
| Gallinat AS, Primack RB, Willis CG, et al. (2018) Patterns and predictors of fleshy fruit phenology at five international botanical gardens. American Journal of Botany |
| Yost JM, Sweeney PW, Gilbert E, et al. (2018) Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants. Applications in Plant Sciences. 6: e1022 |
| Gallinat AS, Russo L, Melaas EK, et al. (2018) Herbarium specimens show patterns of fruiting phenology in native and invasive plant species across New England. American Journal of Botany. 105: 31-41 |
| Daru BH, Park DS, Primack RB, et al. (2017) Widespread sampling biases in herbaria revealed from large-scale digitization. The New Phytologist |