Bijan Seyednasrollah, Ph.D.
Affiliations: | 2011-2017 | Duke University, Durham, NC | |
2017- | Harvard University, Cambridge, MA, United States |
Area:
Environmental Data Science, Remote Sensing, Geospatial AnalysisGoogle:
"Bijan Seyednasrollah"Parents
Sign in to add mentorJames S. Clark | grad student | Duke | |
Jean-Christophe Domec | grad student | Duke | |
Alan E. Gelfand | grad student | Duke (MathTree) | |
Jennifer J. Swenson | grad student | Duke | |
Andrew Richardson | post-doc | (Evolution Tree) |
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Publications
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Schädel C, Seyednasrollah B, Hanson PJ, et al. (2023) Using long-term data from a whole ecosystem warming experiment to identify best spring and autumn phenology models. Plant-Environment Interactions (Hoboken, N.J.). 4: 188-200 |
Teets A, Bailey AS, Hufkens K, et al. (2022) Early spring onset increases carbon uptake more than late fall senescence: modeling future phenological change in a US northern deciduous forest. Oecologia |
Rademacher T, Fonti P, LeMoine JM, et al. (2021) Manipulating phloem transport affects wood formation but not local nonstructural carbon reserves in an evergreen conifer. Plant, Cell & Environment |
Kazemzadeh M, Noori Z, Alipour H, et al. (2021) Natural and anthropogenic forcings lead to contrasting vegetation response in long-term vs. short-term timeframes. Journal of Environmental Management. 286: 112249 |
Seyednasrollah B, Bowling DR, Cheng R, et al. (2020) Seasonal variation in the canopy color of temperate evergreen conifer forests. The New Phytologist |
Seyednasrollah B, Clark JS. (2020) Where Resource‐Acquisitive Species Are Located: The Role of Habitat Heterogeneity Geophysical Research Letters. 47 |
Seyednasrollah B, Young AM, Li X, et al. (2020) Sensitivity of Deciduous Forest Phenology to Environmental Drivers: Implications for Climate Change Impacts Across North America Geophysical Research Letters. 47 |
Seyednasrollah B, Young AM, Hufkens K, et al. (2019) Publisher Correction: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6: 261 |
Seyednasrollah B, Young AM, Hufkens K, et al. (2019) Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6: 222 |
Seyednasrollah B, Kumar M. (2019) How Surface Radiation on Forested Snowpack Changes across a Latitudinal Gradient Hydrology. 6: 62 |