| Autor: |
Attarod, P., Tang, Q., Van Stan II, J. T., Pypker, T. G., Liu, X. |
| Předmět: |
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| Zdroj: |
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 10/12/2019, Vol. XLII-4/W18, p117-125, 9p |
| Abstrakt: |
Across all forest systems, the primary driver of throughfall (TF) amount is rainfall amount (Pg) though no work has addressed the sensitivity of the TF response to projected shifts in Pg due to climate change. We assessed how climate change may impact TF sensitivity to variability in Pg for eleven typical forest sites across the main climate types of Iran using a nondimensional relative sensitivity coefficient. The Coupled Model Intercomparison Project phase 5 (CMIP5) HadGEM2-ES product was used under two emission scenarios (Representative Concentration Pathway (RCP) 2.6 and 8.5) to project yearly precipitation and Pg for the measurement sites during 2020–50. There was a strong linear relationship between TF and Pg at all sites [TF = 0.66 (Pg) – 0.30; R2 = 0.91; n = 639]. The sensitivity coefficient ranged from 0.96–5.3 across the eleven forest sites. Large sensitivity coefficient differences were found between small (< mean annual Pg) and large (> mean annual Pg) storms for arid plantations. To buffer expected shifts in storm size due to climate change, it may be suitable to incorporate TF sensitivity when choosing landscaping and urban greening. Shifts in Pg and increased small storm frequency are predicted for 2020–50 per CMIP5 HadGEM2-ES low and high emission scenarios. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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