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Urban Ecosystem

Increased impervious surface area (ISA) resulted from urban and suburban development is a major environmental issue affecting hydrology and climate. One of the fundamental challenges in ISA research is to improve the accuracy of ISA data. We are developing advanced algorithms to extract ISA from high spatial resolution remote sensing imageries.

Hydrology modeling is known as an effective, widely used method to evaluate the impact of ISA on environment, especially watershed hydrology. Incorporating high resolution ISA information in hydrology modeling is a research challenge. We are using hydrology models to evaluate the influence of land-use and land-cover combination and spatial configuration, especially ISA features, on hydrologic response and water quality.

Relevant Publications

  1. Verrelli, B. C., M. Alberti, S. Des Roches, N. C. Harris, A. P. Hendry, M. T. J. Johnson, A. M. Savage, A. Charmantier, K. M. Gotanda, L. Govaert, L. S. Miles, L. R. Rivkin, K. M. Winchell, K. I. Brans, C. Correa, S. E. Diamond, B. Fitzhugh, N. B. Grimm, S. Hughes, J. M. Marzluff, J. Munshi-South, C. Rojas, J. S. Santangelo, C. J. Schell, J. A. Schweitzer, M. Szulkin, M. C. Urban, Y. Zhou & C. Ziter (2022) A global horizon scan for urban evolutionary ecology. Trends in Ecology & Evolution. Doi: 10.1016/j.tree.2022.07.012
  2. Zhou, Y*(2022). Understanding urban plant phenology for sustainable cities and planet. Nature Climate Change. 12, 302-304. 
  3. Li, L., X. Li, G. Asrar, Y. Zhou, M. Chen, Y. Zeng, X. Li, F. Li, M. Luo, A. Sapkota & D. Hao (2022) Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State. International Journal of Applied Earth Observation and Geoinformation, 110, 102815.
  4. Meng, L., Y. Zhou*, M. O. Román, E. C. Stokes, Z. Wang, G. R. Asrar, J. Mao, A. D. Richardson, L. Gu & Y. Wang (2022) Artificial light at night: an under-appreciated effect on phenology of deciduous woody plants. PNAS Nexus, pgac046.
  5. Li, L., D. Hao, X. Li, M. Chen, Y. Zhou, D. Jurgens, G. Asrar & A. Sapkota (2022) Satellite-based phenology products and in-situ pollen dynamics: A comparative assessment. Environmental Research, 204, 111937.
  6. Meng, L., Y. Zhou*, L. Gu, A. D. Richardson, J. Peñuelas, Y. Fu, Y. Wang, G. R. Asrar, H. J. De Boeck, J. Mao, Y. Zhang & Z. Wang (2021) Photoperiod decelerates the advance of spring phenology of six deciduous tree species under climate warming. Global Change Biology, 27, 2914-2927.
  7. Meng, L., J. Mao*, Y. Zhou*, A. D. Richardson, X. Lee, P. E. Thornton, D. M. Ricciuto, X. Li, Y. Dai, X. Shi & G. Jia, 2020. Urban warming advances spring phenology but reduces the response of phenology to temperature in the conterminous United States. Proceedings of the National Academy of Sciences, 201911117.
  8. Meng, L., Y. Zhou*, X. Li, G. R. Asrar, J. Mao, A. D. Wanamaker & Y. Wang, 2020. Divergent responses of spring phenology to daytime and nighttime warming. Agricultural and Forest Meteorology, 281, 107832.
  9. Wang, S., W. Ju, J. Peñuelas, A. Cescatti, Y. Zhou, Y. Fu, A. Huete, M. Liu & Y. Zhang,2019. Urban− rural gradients reveal joint control of elevated CO 2 and temperature on extended photosynthetic seasons. Nature Ecology & Evolution. 3: 1076–1085.
  10. Li, X., Y. Zhou*, L. Meng, G. R. Asrar, C. Lu & Q. Wu, 2019. A dataset of 30-meter annual vegetation phenology indicators (1985-2015) in urban areas of the conterminous United States. Earth Syst. Sci. Data.  11(2): 881-894.
  11. Li, X., Zhou, Y.*, L. Meng, G. Asrar, A. Sapkota & F. Coates, 2019. Characterizing the relationship between satellite phenology and pollen season: A case study of birch. Remote Sensing of Environment, 222, 267-274. 
  12. Ren, Q., C. He, Q. Huang & Y. Zhou*,2018. Urbanization Impacts on Vegetation Phenology in China. Remote Sensing, 10, 1905.
  13. Li, X., Zhou, Y.*, Asrar, G.R., Mao, J., Li, X., Li, W., 2017. Response of vegetation phenology to urbanization in the conterminous United States. Global change biology 23, 2818-2830.
  14. Li, X., Zhou, Y.*, Asrar, G.R., Meng, L., 2017. Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data. Science of The Total Environment 605, 721-734.
  15. Alberti, M., Correa, C., Marzluff, J.M., Hendry, A.P., Palkovacs, E.P., Gotanda, K.M., Hunt, V.M., Apgar, T.M., Zhou, Y., 2017. Global urban signatures of phenotypic change in animal and plant populations. Proceedings of the National Academy of Sciences, 201606034.
  16. Zhou, Y., and Y. Wang, A. Gold, P.V. August, and T. Boving, 2014. Assessing Impact of Urban Impervious Surface on Watershed Hydrology Using Simulation and Spatial Regression. GeoJournal. 79 (2), 155-166
  17. Zhou, Y., Y. Wang, A. Gold, and P.V. August, 2010. Modeling watershed rainfall-runoff relations using impervious surface-area data with high spatial resolution. Hydrogeology Journal, 18(6), 1413-1423
urban vegetation