Assessing the effects of the climate change on land cover changes in different time periods
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The present research evaluated the relation between the normalized difference vegetation index (NDVI) changes and the climate change during 2000–2014 in Qazvin Plain, Iran. Daily precipitation and mean temperature values during 2015–2040 and 2040–2065 were predicted using the statistical downscaling model (SDSM), and these values were compared with the values of the base period (2000–2014). The MODIS images (MOD13A2) were used for NDVI monitoring. In order to investigate the effects of climate changes on vegetation, the relationship between the NDVI and climatic parameters was assessed in monthly, seasonal, and annual time periods. According to the obtained results under the B2 scenario, the mean annual precipitation at Qazvin Station during 2015–2040 and 2040–2065 was 6.7 mm (9.3%) and 8.2 mm (11.36%) lower than the values in the base period, respectively. Moreover, the mean annual temperature in the mentioned periods was 0.7 and 0.92 °C higher than that in the base period, respectively. Analysis of the correlations between the NDVI and climatic parameters in different periods showed that there is a significant correlation between the seasonal temperature and NDVI (P < 0.01). Moreover, the NDVI will increase 0.009 and 0.011 during 2015–2040 and 2040–2065, respectively.
KeywordsNDVI Temperature Precipitation Qazvin Plain Remote sensing
This research forms part of a research project financed by the Iran National Science Foundation (INSF) no: 94011898.
- Christensen JH, Hewitson B, Busuioc A, Chen A, Gao X, Held I, Jones R, Kolli RK, Kwon WT, Laprise R, Maga˜na Rueda V, Mearns L, Men’endez CG, R¨ais¨anen J, Rinke A, Sarr A, Whetton Z (2007) Regional climate projections. Climate change 2007: the physical science basis, contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
- Fang JY, Piao SL, He JS, Ma W (2004) Increasing terrestrial vegetation activity in China, 1982–1999. Sci China Ser C 47:229–240Google Scholar
- Guo N, Zhu Y, Wang J, Deng C (2008) The relationship between NDVI and climate elements for 22 years in different vegetation areas of northwest China. J Plant Ecol 32:319–327Google Scholar
- Intergovernmental Panel on Climate Change (IPCC) (2007) Working group III report, mitigation of climate change, chapter 6, residential and commercial buildings. M. Levine (USA) and D. U¨rge-Vorsatz (Hungary), coordinating lead authors. Geneva, Switzerland: Intergovernmental Panel on Climate ChangeGoogle Scholar
- Khatir A, Abdelmalik A, Abdalla AM, Elmobark MG, Imad-eldin SA, Babiker A, El-Hag FM (2015) Evaluation of climate change effects on the growing season in Butana region and North Kordofan, Sudan. Sudan Academy of Sciences Journal-Special Issue (Climate Change) 11:43–55Google Scholar
- Kulawardhana RW (1999) Determination of spatio-temporal variations of vegetation cover, land surface temperature and rainfall and their relationships over Sri Lanka using NOAA AVHRR data. Thesis for the degree of Masters of Philosophy in Integrated Water Resources Management. Institute of Agriculture University of Peradeniya in Sri Lanka. pp 1–67Google Scholar
- Semiromi S, Moradi HR, Khodagholi M (2014) Simulation and prediction some of climate variable by using multi line SDSM and global circulation models (case study: Bar Watershed Neishabour). Human and Environment 28:1–15Google Scholar
- Yin Z, Williams THL (1997) Obtaining spatial and temporal vegetation data from Landsat MSS and AVHRR/NOAA satellite images for a hydrologic model. Photogramm Eng Remote Sens 63:69–77Google Scholar