Abstract
As the characterization of primary productivity of wetland ecosystem, the Normalized Difference Vegetation Index (NDVI) plays an important role in local ecosystem conservation for environmental management. In this paper, the correlations of NDVI and hydro-meteorological variables were studied in a water scarce area with emphasis on different land use types, namely water, wetland, residential land and farmland, during the growing seasons of 1999 and 2000. The significant NDVI changes were detected between spring and summer for all land use types. The correlation analysis revealed that the NDVI-temperature correlation (P < 0.001) was stronger than NDVI-precipitation correlation (P < 0.01 for farmland and P < 0.05 for others) in all land use types. In addition, water level had no significant correlation with NDVI at such a small time scale. The sensitivity differences in different land use types based on the determination coefficient of the linear regression models are: Rfarmland > Rwetland > Rresidential land > Rwater for NDVI and precipitation correlations (P < 0.05); and Rwater > Rwetland > Rresidential land > Rfarmland for NDVI and temperature correlations (P < 0.001). The results would be valuable for the understandings of effects of hydro-meteorological variables on NDVI changes, as well as the potential effect on land use and land cover.
Similar content being viewed by others
References
Ahmedou O, Nagasawa R, Osman A, Hattori K (2008) Rainfall variability and vegetation dynamics in the Mauritanian Sahel. Clim Res 38(1):75–81. doi:10.3354/cr00776
Beck PSA, Atzberger C, Høgda KA, Johansen B, Skidmore AK (2006) Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sens Environ 100(3):321–334. doi:10.1016/j.rse.2005.10.021
Berger DL, Johnson MJ, Tumbusch ML, Mackay J (2001) Estimates of evapotranspiration from the Ruby Lake National Wildlife Refuge Area, Ruby Valley, Northeastern Nevada, May 1999-October 2000. US Department of the Interior, US Geological Survey
Bierschenk A, Savage C, Townsend C, Matthaei C (2012) Intensity of land use in the catchment influences ecosystem functioning along a freshwater-marine continuum. Ecosystems 1–15. doi:10.1007/s10021-012-9536-0
Cai YP, Huang GH, Yang ZF, Tan Q (2009) Identification of optimal strategies for energy management systems planning under multiple uncertainties. Appl Energ 86(4):480–95. doi: 10.1016/j.apenergy.2008.09.025
Cai YP, Huang GH, Tan Q, Chen B (2011) Identification of optimal strategies for improving eco-resilience to floods in ecologically vulnerable regions of a wetland. Ecol Model 222(2):360–369. doi: 10.1016/j.ecolmodel.2009.12.012
Cai Y, Mitani Y, Ikemi H, Liu S (2012) Effect of precipitation timescale selection on tempo-spatial assessment of paddy water demand in Chikugo-Saga Plain, Japan. Water Resour Manag 26(6):1731–1746. doi:10.1007/s11269-012-9984-5
Chamaillé-Jammes S, Fritz H (2009) Precipitation–NDVI relationships in eastern and Southern African savannas vary along a precipitation gradient. Int J Remote Sens 30(13):3409–3422. doi:10.1080/01431160802562206
Cui BS, Li X, Zhang KJ (2010) Classification of hydrological conditions to assess water allocation schemes for Lake Baiyangdian in North China. J Hydrol 385(1–4):247–256. doi:10.1016/j.jhydrol.2010.02.026
Dong C, Huang GH, Cai YP, Xu Y (2011) An interval-parameter minimax regret programming approach for power management systems planning under uncertainty. Appl Energ 88(8):2835–45. doi: 10.1016/j.apenergy.2011.01.056
Dunn SM, Brown I, Sample J, Post H (2012) Relationships between climate, water resources, land use and diffuse pollution and the significance of uncertainty in climate change. J Hydrol 434–435:19–35. doi:10.1016/j.jhydrol.2012.02.039
Dupuis AP, Hann BJ (2009) Warm spring and summer water temperatures in small eutrophic lakes of the Canadian prairies: potential implications for phytoplankton and zooplankton. J Plankton Res 31(5):489–502. doi:10.1093/plankt/fbp001
Elliott JA (2010) The seasonal sensitivity of Cyanobacteria and other phytoplankton to changes in flushing rate and water temperature. Glob Chang Biol 16(2):864–876. doi:10.1111/j.1365-2486.2009.01998.x
Gamon JA, Field CB, Goulden ML, Griffin KL, Hartley AE, Joel G, Peñuelas J, Valentini R (1995) Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. Ecol Appl 28–41. doi:www.jstor.org/stable/1942049
Gu Y, Brown JF, Verdin JP, Wardlow B (2007) A 5-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States. Geophys Res Lett 34, L06407. doi:10.1029/2006GL029127
Hall-Beyer M (2012) Patterns in the yearly trajectory of standard deviation of NDVI over 25 years for forest, grasslands and croplands across ecological gradients in Alberta, Canada. Int J Remote Sens 33(9):2725–2746. doi:10.1080/01431161.2011.620029
Hansen P, Schjoerring J (2003) Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens Environ 86(4):542–553. doi:10.1016/S0034-4257(03)00131-7
Ichii K, Kawabata A, Yamaguchi Y (2002) Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982–1990. Int J Remote Sens 23(18):3873–3878. doi:10.1080/01431160110119416
Jacobs JM, Mergelsberg SL, Lopera AF, Myers DA (2002) Evapotranspiration from a wet prairie wetland under drought conditions: Paynes Prairie Preserve, Florida, USA. Wetlands 22(2):374–385. doi:10.1672/0277-5212(2002)022[0374:EFAWPW]2.0.CO;2
Lafleur PM, Rouse WR (1988) The influence of surface cover and climate on energy partitioning and evaporation in a subarctic wetland. Bound-Layer Meteorol 44(4):327–347. doi:10.1007/BF00123020
Li B, Tao S, Dawson R (2002) Relations between AVHRR NDVI and ecoclimatic parameters in China. Int J Remote Sens 23(5):989–999. doi:10.1080/014311602753474192
Liu J, Dietz T, Carpenter SR, Alberti M, Folke C, Moran E, Pell AN, Deadman P, Kratz T, Lubchenco J (2007) Complexity of coupled human and natural systems. Science 317(5844):1513–1516. doi:10.1126/science.1144004
Lotsch A, Friedl MA, Anderson BT, Tucker CJ (2003) Coupled vegetation-precipitation variability observed from satellite and climate records. Geophys Res Lett 30(14):1774. doi:10.1029/2003GL017506
Lunetta RS, Shao Y, Ediriwickrema J, Lyon JG (2010) Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data. Int J Appl Earth Obs Geoinformation 12(2):81–88. doi:10.1016/j.jag.2009.11.005
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. doi:10.1007/s11284-011-0801-z
Mishra A, Singh V (2010) A review of drought concepts. J Hydrol 391:202–216. doi:10.1016/j.jhydrol.2010.07.012
Mishra A, Özger M, Singh V (2011) Association between uncertainties in meteorological variables and water-resources planning for the state of Texas. J Hydrol Eng 16:984–999. doi:10.1061/(ASCE)HE.1943-5584.0000150
Na X, Zang S (2011) Classifying wetland vegetation type from MODIS NDVI time series using Fourier analysis. Appl Inform Commun 224(1):66–73. doi:10.1007/978-3-642-23214-5_9
Neigh CSR, Tucker CJ, Townshend JRG (2008) North American vegetation dynamics observed with multi-resolution satellite data. Remote Sens Environ 112(4):1749–1772. doi:10.1016/j.rse.2007.08.018
Oindo BO, Skidmore AK (2002) Interannual variability of NDVI and species richness in Kenya. Int J Remote Sens 23(2):285–298. doi:10.1080/01431160010014819
Paerl HW, Paul VJ (2011) Climate change: links to global expansion of harmful cyanobacteria. Water Res 46(5):1349–1363. doi:10.1016/j.watres.2011.08.002
Qi Y (1999) The effect of climate change on vegetation at high latitudes of the Northern Hemisphere, a functional analysis (in Chinese). Acta Ecol Sin 19(4):474–477
Seaquist J, Hickler T, Eklundh L, Ardö J, Heumann B (2009) Disentangling the effects of climate and people on Sahel vegetation dynamics. Biogeosciences 6(3):469–477. doi:10.5194/bgd-5-3045-2008
Segah H, Tani H, Hirano T (2010) Detection of fire impact and vegetation recovery over tropical peat swamp forest by satellite data and ground-based NDVI instrument. Int J Remote Sens 31(20):5297–5314. doi:10.1080/01431160903302981
Song Y, Ma M (2008) Variation of AVHRR NDVI and its relationship with climate in Chinese arid and cold regions (in Chinese). J Remote Sens 12(3):499–505
Tadonléké RD (2010) Evidence of warming effects on phytoplankton productivity rates and their dependence on eutrophication status. Limnol Oceanogr 55(3):973–982. doi:10.4319/lo.2010.55.3.0973
Tan Q, Huang GH, Cai YP (2011) Radial interval chance-constrained programming for agricultural non-point source water pollution control under uncertainty. Agr Water Manage 98(10):1595–606. doi:10.1016/j.agwat.2011.05.013
Tang J, Ding X, Wang L, Xu Q, Yang Z, Zhao J, Sun Q, Feng S, Zhang J (2012) Effects of wetland degradation on bacterial community in the Zoige Wetland of Qinghai-Tibetan Plateau (China). World J Microbiol Biotechnol 28(2):649–657. doi:10.1007/s11274-011-0858-4
Tarnavsky E, Garrigues S, Brown ME (2008) Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products. Remote Sens Environ 112(2):535–549. doi:10.1016/j.rse.2007.05.008
Tucker CJ, Slayback DA, Pinzon JE, Los SO, Myneni RB, Taylor MG (2001) Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. Int J Biometeorol 45(4):184–190. doi:10.1007/s00484-001-0109-8
Wang F, Wang X, Zhao Y, Yang ZF (2012) Long-term water quality variations and chlorophyll a simulation with an emphasis on different hydrological periods in Lake Baiyangdian, North China. J Environ Inform 20(2):90–102. doi:10.3808/jei.201000223
Wang F, Wang X, Zhao Y, Yang ZF (2013a) Temporal variations of NDVI and correlations between NDVI and hydro-climatological variables at Lake Baiyangdian, China. Int J Biometeorol 1–13. doi:10.1007/s00484-013-0758-4
Wang F, Wang X, CHEN B, Zhao Y, Yang ZF (2013b) Chlorophyll a simulation in a Lake Ecosystem using a model with wavelet analysis and Artificial Neural Network. Environ Manag 51(5):1044–1054. doi:10.1007/s00267-013-0029-5
Yin XA, Yang ZF (2011) Development of a coupled reservoir operation and water diversion model: balancing human and environmental flow requirements. Ecol Model 222(2):224–231. doi:10.1016/j.ecolmodel.2010.06.025
Zhao Y, Yang ZF, Xia XH, Wang F (2012) A shallow lake remediation regime with phragmites australis: incorporating nutrient removal and water evapotranspiration. Water Res 46(17):5635–5644. doi:10.1016/j.watres.2012.07.053
Zhou L, Kaufmann R, Tian Y, Myneni R, Tucker C (2003) Relation between interannual variations in satellite measures of northern forest greenness and climate between 1982 and 1999. J Geophys Res 108(D1):4004. doi:10.1029/2002JD002510
Acknowledgments
This research was financially supported by the National Water Pollution Control and Treatment Project of China (No.2008ZX07209–009), The national Science Foundation for Innovative Research Group (No.51121003), the National Natural Sciences Foundation of China (No. 31301921; No. 31170193) and Research Project for National Environmental Nonprofit Industry (No. 201209032).
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by: H. A. Babaie
Rights and permissions
About this article
Cite this article
Wang, F., Wang, X., Zhao, Y. et al. Correlation analysis of NDVI dynamics and hydro-meteorological variables in growth period for four land use types of a water scarce area. Earth Sci Inform 7, 187–196 (2014). https://doi.org/10.1007/s12145-013-0139-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12145-013-0139-x