Abstract
Normalized difference vegetation index (NDVI) is an important indicator for measuring vegetation coverage, which is of great significance for evaluating vegetation dynamics and vegetation restoration. It can clearly analyze the suitable growth condition of vegetation by studying the relationship between meteorological factors, soil moisture and NDVI. Based on MODIS/NDVI data, the spatio-temporal characteristics of vegetation coverage in the Weihe River Basin (WRB) were analyzed by the trend analysis method. The relationship of NDVI with meteorological factors and NDVI with soil moisture simulated by the soil and water assessment tool (SWAT) model was analyzed in this paper. The results show that NDVI values gradually change with an increase from north to south in the WRB. The maximum of the average monthly NDVI is 0.702 (August) and the minimum is 0.288 in February from 2000 to 2015. The results of the seven grades of NDVI trend line slope indicate that the improvement area of vegetation coverage accounts for 30.93% of the total basin, and the degradation area and basically unchanged area account for 23% and 42.9%, respectively. The annual mean soil moisture is 19.37% in the WRB. There was a strong correlation between NDVI and precipitation, temperature, evaporation and soil moisture, and the correlation coefficients were 0.78, 0.89, 0.71 and 0.65, respectively. The ranges of the most suitable growth conditions for vegetation are 80–145 mm (precipitation), 13–23 °C (temperature), 94–144 mm (evaporation) and 25–33% (soil moisture), respectively.
Similar content being viewed by others
References
Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2):413–430
Chang J, Li Y, Wei J, Guo A (2016a) Dynamic changes of sediment load and water discharge in the Weihe River, China. Environ Earth Sci 75(12):1–17
Chang J, Zhang H, Wang Y, Zhu Y (2016b) Assessing the impact of climate variability and human activities on streamflow variation. Hydrol Earth Syst Sci 20(4):1547–1560
Chen J, Jönsson P, Tamura M, Gu Z, Matsushita B, Eklundh L (2004) A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter. Remote Sens Environ 91(3):332–344
Chen L, Huang Z, Gong J, Fu B, Huang Y (2007) The effect of land cover/vegetation on soil water dynamic in the hilly area of the loess plateau. China Catena 70(2):200–208
Chuai X, Huang X, Wang W, Bao G (2013) NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998–2007 in Inner Mongolia, China. Int J Climatol 33(7):1696–1706
Cibin R, Sudheer KP, Chaubey I (2010) Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrol Process 24(9):1133–1148
Du J, Shi C (2012) Effects of climate factors and human activities on runoff of the Weihe River in recent decades. Quat Int 282:58–65
Easterling DR, Wehner MF (2009) Is the climate warming or cooling? Geophys Res Lett 36(8):262–275
Easton ZM, Fuka DR, Walter MT, Cowan DM, Schneiderman EM, Steenhuis TS (2008) Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas. J Hydrol 348(3):279–291
Fang J, Piao S, Zhou L, He J, Wei F, Myneni RB, Tucker CJ, Tan K (2005) Precipitation patterns alter growth of temperate vegetation. Geophys Res Lett 322(21):365–370
Fu B, Burghe rI (2015) Riparian vegetation NDVI dynamics and its relationship with climate, surface water and groundwater. J Arid Environ 113:59–68
Ghaffari G, Keesstra S, Ghodousi J, Ahmadi H (2010) SWAT-simulated hydrological impact of land-use change in the Zanjanrood basin, Northwest Iran. Hydrol Process 24(7):892–903
Githui F, Gitau W, Mutua F, Bauwens W (2009) Climate change impact on SWAT simulated streamflow in western Kenya. Int J Climatol 29(12):1823–1834
Havrylenko SB, Bodoque JM, Srinivasan R, Zucarelli GV, Mercuri P (2016) Assessment of the soil water content in the Pampas region using SWAT. Catena 137:298–309
Huang S, Huang Q, Leng G, Zhao M, Meng E (2017a) Variations in annual water-energy balance and their correlations with vegetation and soil moisture dynamics: A case study in the Wei River Basin, China. J Hydrol 546:515–525
Huang S, Ming B, Huang Q, Leng G, Hou B (2017b) A case study on a combination NDVI forecasting model based on the entropy weight method. Water Resour Manag 31(11):3667–3681
Jayakrishnan R, Srinivasan R, Santhi C, Arnold JG (2005) Advances in the application of the SWAT model for water resources management. Hydrol Process 19(3):749–762
Jia S, Zhu W, Lű A, Yan T (2011) A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China. Remote Sens Environ 115(12):3069–3079
Kateb HE, Zhang H, Zhang P, Mosandl R (2013) Soil erosion and surface runoff on different vegetation covers and slope gradients: a field experiment in Southern Shaanxi Province, China. Catena 105(5):1–10
Li X, Zhang Q, Xu CY, Ye X (2015) The changing patterns of floods in Poyang Lake, China: characteristics and explanations. Nat Hazards 76(1):651–666
Li Y, Chang J, Wang Y, Jin W, Guo A (2016) Spatiotemporal impacts of climate, land cover change and direct human activities on runoff variations in the Wei River Basin, China. Water 8(6):220
Liu D, Tian F, Hu H, Lin M, Cong Z (2012) Ecohydrological evolution model on riparian vegetation in hyperarid regions and its validation in the lower reach of Tarim River. Hydrol Process 26(13):2049–2060
Masood M, Takeuchi K (2012) Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model. Nat Hazards 61(2):757–770
Meng M, Ni J, Zong M (2011) Impacts of changes in climate variability on regional vegetation in China: NDVI-based analysis from 1982 to 2000. Ecol Res 26(2):421–428
Piao S, Mohammat A, Fang J, Cai Q, Feng J (2006) NDVI-based increase in growth of temperate grasslands and its responses to climate changes in China. Glob Environ Change 16(4):340–348
Sun J, Qin X (2016) Precipitation and temperature regulate the seasonal changes of NDVI across the Tibetan Plateau. Environ Earth Sci 75(4):1–9
Tabacchi E, Lambs L, Guilloy H, Planty-Tabacchi A, Muller E, Decamps H (2015) Impacts of riparian vegetation on hydrological processes. Hydrol Process 14(16–17):2959–2976
Uniyal B, Dietrich J, Vasilakos C, Tzoraki O (2017) Evaluation of SWAT simulated soil moisture at catchment scale by field measurements and Landsat derived indices. Agric Water Manag 193:55–70
White ED, Easton ZM, Fuka DR, Collick AS, Adgo E, Mccartney M, Awlachew SB, Selassie YG, Steenhuis TS (2015) Development and application of a physically based landscape water balance in the SWAT model. Hydrol Process 25(6):915–925
Wu J, Lin Z, Zheng Y, Lü A (2012) Regional differences in the relationship between climatic factors, vegetation, land surface conditions, and dust weather in China’s Beijing-Tianjin sand source region. Nat Hazards 62(1):31–44
Wu D, Zhao X, Liang S, Zhou T, Huang K, Tang B, Zhao W (2015) Time-lag effects of global vegetation responses to climate change. Glob Change Biol 21(9):3520
Xiong S, Johansson ME, Hughes FMR, Hayes A, Richards K, Nilsson C (2003) Interactive effects of soil moisture, vegetation canopy, plant litter and seed addition on plant diversity in a Wetland Community. J Ecol 91(6):976–986
Yang S, Dong G, Zheng D, Xiao H, Gao Y, Lang Y (2011) Coupling Xinanjiang model and SWAT to simulate agricultural non-point source pollution in Songtao watershed of Hainan, China. Ecol Model 222(20–22):3701–3717
Yang J, Chang J, Yao J, Wang Y, Huang Q, Xu G (2017) Impact of natural climate variability on runoff based on Monte Carlo method. J Water Clim Change. https://doi.org/10.2166/wcc.2017.177
Zhou P, Luukkanen O, Tokola T, Nieminen J (2008) Effect of vegetation cover on soil erosion in a mountainous watershed. Catena 75(3):319–325
Acknowledgements
This research was supported by the National Natural Science Foundation of China (91647112, 51679189 and 51679187), the National Key Research and Development Program of China (2016YFC0400906) and Doctor Innovation Foundation of Xi’an University of Technology (310-252071605).
Author information
Authors and Affiliations
Corresponding author
Additional information
This article is a part of a Topical Collection in Environmental Earth Sciences on Water Resources and Hydraulic Engineering, guest edited by Drs. Yanqing Lian, Walton Kelly, and Fulin Li.
Rights and permissions
About this article
Cite this article
Zhang, H., Chang, J., Zhang, L. et al. NDVI dynamic changes and their relationship with meteorological factors and soil moisture. Environ Earth Sci 77, 582 (2018). https://doi.org/10.1007/s12665-018-7759-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-018-7759-x