HOW WILL CLIMATE CHANGE IMPACT THE STORM MAGNITUDE AND THROUFALL IN SEVERAL FOREST AREAS IN IRAN?
- 1Forestry and Forest Economics Department, Faculty of Natural Resources, University of Tehran, Iran
- 2Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China
- 3Department of Geology and Geography, Georgia Southern University, USA
- 4Department of Natural Resource Sciences, Faculty of Science, Thompson Rivers University, Kamloops, Canada
Keywords: Climate change, Forest ecosystems, General Circulation Models, Precipitation projection, Throughfall sensitivity
Abstract. 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.