Abstract
Abstract. Climate change is one of the most important environmental challenges in the world and forest as a dynamic phenomenon is influenced by environmental changes. The Hyrcanian forests is a unique natural heritage of global importance and we need monitoring this region. The objective of this study was to detect start and end of season trends in Hyrcanian forests of Iran based on biweekly GIMMS (Global Inventory Modeling and Mapping Studies) NDVI3g in the period 1981-2012. In order to find response of vegetation activity to local temperature variations, we used air temperature provided from I.R. Iran Meteorological Organization (IRIMO). At the first step in order to remove the existing gap from the original time series, the iterative Interpolation for Data Reconstruction (IDR) model was applied to GIMMS and temperature dataset. Then we applied significant Mann Kendall test to determine significant trend for each pixel of GIMMS and temperature datasets over the Hyrcanian forests. The results demonstrated that start and end of season (SOS & EOS respectively) derived from GIMMS3g NDVI time series increased by -0.16 and +0.41 days per year respectively. The trends derived from temperature time series indicated increasing trend in the whole of this region. Results of this study showed that global warming and its effect on growth and photosynthetic activity can increased the vegetation activity in our study area. Otherwise extension of the growing season, including an earlier start of the growing season, later autumn and higher rate of production increased NDVI value during the study period.
Highlights
The available data on climate change over the past century indicate that the Earth is warming (Khanduri et al, 2008)
In order to exclude remaining gaps caused by cloud or haze contamination which create low and discontinuous NDVI values in the time series, the iterative Interpolation for Data Reconstruction (IDR) method was applied pixel by pixel to GIMMS3g NDVI data
Increasing temperature influence vegetation phenology and NDVI time series respond to the climate change
Summary
The available data on climate change over the past century indicate that the Earth is warming (Khanduri et al, 2008). We can find different trends in previous research because of various data sources, variable study periods, satellite platforms, temporal and spatial resolution from national to global scales. The longest continuous records of NDVI dataset provide by GIMMS group from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard National Oceanic and Atmospheric Administration (NOAA) satellite series since July 1981. This dataset has been widely used for regional and global scale vegetation trend analysis representing changes in vegetation phenology (Anyamba et al, 2005; Baldi et al, 2008; Julien et al, 2009; Sobrino et al, 2011).
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