Julia K Green
- Assistant Professor, Environmental Science
- Member of the Graduate Faculty
Contact
- (520) 621-1646
- Shantz, Rm. 429
- Tucson, AZ 85721
- juliakgreen@arizona.edu
Awards
- Tansley Medal Short-list
- New Phytologist, Fall 2023 (Award Finalist)
Interests
No activities entered.
Courses
2024-25 Courses
-
Colloquium
ENVS 595 (Spring 2025) -
Princip Ecological Climatology
ENVS 376 (Spring 2025) -
Research
ENVS 900 (Spring 2025) -
Colloquium
ENVS 595 (Fall 2024)
2023-24 Courses
-
Independent Study
ENVS 599 (Spring 2024) -
Princip Ecological Climatology
ENVS 376 (Spring 2024)
Scholarly Contributions
Journals/Publications
- H, H., Wigneron, J. P., Ciais, p., Yao, Y., Fan, L., Liu, X., Li, X., Green, J. K., Tian, F., Tao, S., Li, W., Frappart, F., Albergel, C., Wang, M., & Li, S. (2023). Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests. Remote Sensing of Environment, 113409.
- Massoud, E., Hoffman, F., Shi, Z., Tang, J., Alhajjar, E., Barnes, M., Braghiere, R. K., Cardon, Z., Collier, N., Crompton, O., Dennedy-Frank, P. J., Gautam, S., Gonzalez-Meler, M. A., Green, J. K., Koven, C., Levine, P., MacBean, N., Mao, J., Mills, R. T., , Mishra, U., et al. (2023).
Perspectives on Artificial Intelligence for Predictions in Ecohydrology.
. Artificial Intelligence for the Earth Systems, 2(4). - Wang, H., Ciais, P., Sitch, S., Green, J. K., Tao, S., Fu, Z., Albergel, C., Bastos, A., Wang, M., Fawcett, D., Frappart, F., Li, X., Liu, X., Li, S., & Wigneron, J. P. (2023). Anthropogenic disturbance exacerbates resilience loss in the Amazon rainforests. Global change biology, e17006.More infoUncovering the mechanisms that lead to Amazon forest resilience variations is crucial to predict the impact of future climatic and anthropogenic disturbances. Here, we apply a previously used empirical resilience metrics, lag-1 month temporal autocorrelation (TAC), to vegetation optical depth data in C-band (a good proxy of the whole canopy water content) in order to explore how forest resilience variations are impacted by human disturbances and environmental drivers in the Brazilian Amazon. We found that human disturbances significantly increase the risk of critical transitions, and that the median TAC value is ~2.4 times higher in human-disturbed forests than that in intact forests, suggesting a much lower resilience in disturbed forests. Additionally, human-disturbed forests are less resilient to land surface heat stress and atmospheric water stress than intact forests. Among human-disturbed forests, forests with a more closed and thicker canopy structure, which is linked to a higher forest cover and a lower disturbance fraction, are comparably more resilient. These results further emphasize the urgent need to limit deforestation and degradation through policy intervention to maintain the resilience of the Amazon rainforests.