EGU22-6835
https://doi.org/10.5194/egusphere-egu22-6835
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Desertification assessment using ecosystem resistance and resilience in drylands

Ryo sasaki1, Haruyuki Fujimaki2, and Aki Yanagawa3
Ryo sasaki et al.
  • 1School of Science and Engineering, MEISEI University 2-1-1 Hodokubo, Hino, Tokyo 191-8506 Japan (21mb002@stu.meisei-u.ac.jp)
  • 2Arid Land Research Center, Tottori University, Tottori 680-0001 Japan(fujimaki@tottori-u.ac.jp)
  • 3School of Science and Engineering MEISEI University 2-1-1 Hodokubo, Hino, Tokyo 191-8506 Japan (aki.yanagawa@meisei-u.ac.jp)

Desertification has been estimated by various perspectives such as meteorology and geography. Desertification indicates the changing of the vegetation and the ecosystem function. However, the evaluation of the desertified area in terms of ecosystem function is not fully understood. Therefore, we calculated the time series fluctuation of desertification using the ecosystem function index (resistance and resilience). We used MODIS satellite-based Normalized Difference Vegetation Index (NDVI) and short-term Standardized Precipitation Evapotranspiration Index (SPEI) data. Resistance and resilience calculated from NDVI. We estimate desertification by resistance and resilience during drought period. The results show trends of fluctuation of resistance and resilience, which indicates a condition of desert areas.

How to cite: sasaki, R., Fujimaki, H., and Yanagawa, A.: Desertification assessment using ecosystem resistance and resilience in drylands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6835, https://doi.org/10.5194/egusphere-egu22-6835, 2022.

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