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Identifying spatial patterns of synchronization between NDVI and climatic determinants using joint recurrence plots

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Abstract

Ten-day series of the Normalized Difference Vegetation Index (NDVI) derived from multi-temporal satellite imagery (1998–2008) was employed as a surrogate for the surface vegetation cover to investigate synchronization of the climatic determinants and its spatial patterns in China. The results, both of the spatiotemporal patterns of joint probability of recurrence (JPR) index and lag time of maximal JPR, clearly suggest that the synchronous relationships of NDVI–climate are site specific and spatially heterogeneous. Higher JPR values of NDVI–temperature are found in Northern China, indicating stronger synchronization in these areas, while higher JPR values of NDVI–precipitation are found in semi-arid and semi-humid regions, which suggest that the moisture factor has a significant influence on NDVI in these areas. Whether lagged or advanced relationship, the phase difference of NDVI–temperature is smaller in Southern China, while is bigger in Northern China. In contrast, the phase difference of NDVI–precipitation is smaller in the semi-arid and sub-humid areas, which means that precipitation has a significant and immediate influence on vegetation in these areas. Overall, the JPR values for NDVI–temperature are higher than those for NDVI–precipitation, suggest that the synchronization between NDVI and temperature is stronger than that between NDVI and precipitation in most areas of China. The results indicate that joint recurrence quantification analysis is a good candidate method for identifying the synchronization between NDVI and climatic determinants.

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References

  • Anyamba A, Tucker CJ (2005) Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003. J Arid Environ 63:569–614

    Article  Google Scholar 

  • Di L, Rundquist DC, Han L (1994) Modelling relationships between NDVI and precipitation during vegetative growth cycles. Int J Remote Sens 15:2121–2136

    Article  Google Scholar 

  • Eckmann J-P, Kamphorst SO, Ruelle D (1987) Recurrence plots of dynamical systems. Europhys Lett 4:973–977

    Article  Google Scholar 

  • Fabretti A, Ausloos M (2005) Recurrence plot and recurrence quantification analysis techniques for detecting a critical regime. Examples from financial market indices. Int J Mod Phys C 16:671–706

    Article  Google Scholar 

  • Fang JY et al (2001) Interannual variability in net primary production and precipitation. Science 293:1723a

    Article  Google Scholar 

  • Funk CC, Brown ME (2006) Intra-seasonal NDVI change projections in semi-arid Africa. Remote Sens Environ 101:249–256

    Article  Google Scholar 

  • Goward SN, Tucker CJ, Dye DG (1985) North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetation 64:3–14

    Article  Google Scholar 

  • Ichii K, Kawabata A, Yamaguchi Y (2002) Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982–1990. Int J Remote Sens 23:3873–3878

    Article  Google Scholar 

  • Jarlan L, Mangiarotti S, Mougin E, Mazzega P, Hiernaux P, VLe Dantec (2008) Assimilation of SPOT/VEGETATION NDVI data into a sahelian vegetation dynamics model. Remote Sens Environ 112:1381–1394

    Article  Google Scholar 

  • Ji L, Peters AJ (2004) A spatial regression procedure for evaluating the relationship between AVHRR-NDVI and climate in the northern Great Plains. Int J Remote Sens 25(2):297–311

    Article  Google Scholar 

  • Kaufmann RK et al (2003) The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data. Geophys Res Lett 30:2147. doi:10.1029/2003GL018251

    Article  Google Scholar 

  • Li SC, Zhao ZQ, Liu FY (2008) Identifying spatial pattern of NDVI series dynamics using recurrence quantification analysis. Eur Phys J Spec Top 164:127–139

    Article  Google Scholar 

  • Malo AR, Nicholson SE (1990) A study of rainfall and vegetation dynamics in the African Sahel using normalized difference vegetation index. J Arid Environ 19:1–24

    Google Scholar 

  • Marwan N, Kurths J (2002) Nonlinear analysis of bivariate data with cross recurrence plots. Phys Lett A 302:299–307

    Article  Google Scholar 

  • Marwan N, Trauth MH, Vuille M, Kurths J (2003) Comparing modern and pleistocene ENSO influences in NW Argentina using nonlinear time series analysis methods. Clim Dyn 21:317–326

    Article  Google Scholar 

  • Marwan N, Romano MC, Thiel M, Kurths J (2007) Recurrence plots for the analysis of complex systems. Phys Rep 438:237–329

    Article  Google Scholar 

  • Maselli F, Chiesi M (2006) Integration of multi-source NDVI data for the estimation of Mediterranean forest productivity. Int J Remote Sens 27:55–72

    Article  Google Scholar 

  • Myneni RB, Tucker CJ, Asrar G, Keeling CD (1998) Interannual variations in satellite-sensed vegetation index data from 1981 to 1991. J Geophys Res 103:6145–6160

    Article  Google Scholar 

  • Piao SL, Fang JY, Zhou LM, Guo QH, Henderson M, Ji W (2003) Interannual variations of monthly, seasonal normalized difference vegetation index, (NDVI) in China from 1982 to 1999. J Geophys Res 108(14):4401. doi:10.1029/2002JD002848

    Article  Google Scholar 

  • Prasad VK, Badarinath KV, Eaturu A (2007) Spatial patterns of vegetation phenology metrics and related climatic controls of eight contrasting forest types in India—analysis from remote sensing datasets. Theor Appl Climatol 89:95–107

    Article  Google Scholar 

  • Propastin P, Kappas M, Erasmi S (2008) Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modeling relationships between vegetation and climate. Int J Spat Data Infra Res 3:73–94

    Google Scholar 

  • Proulx R, Côté P, Parrott L (2008) Use of recurrence analysis to measure the dynamical stability of a multi-species community model. Eur Phys J Spec Top 164:117–126

    Article  Google Scholar 

  • Proulx R, Côté P, Parrott L (2009) Multivariate recurrence plots for visualizing and quantifying the dynamics of spatially extended ecosystems. Ecol Complex 6:37–47

    Article  Google Scholar 

  • Richard Y, Poccard I (1998) A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in southern Africa. Int J Remote Sens 19:2907–2920

    Article  Google Scholar 

  • Romano MC, Thiel M, Kurths J, von Bloh W (2004) Multivariate recurrence plots. Phys Lett A 330:214–223

    Article  Google Scholar 

  • Tateishi R, Ebata M (2004) Analysis of phenological change patterns using 1982–2000 advanced very high resolution radiometer (AVHRR) data. Int J Remote Sens 25:2287–2300

    Article  Google Scholar 

  • Torres ME, Gamero LG (2000) Relative complexity changes in time series using information measures. Phys A 286:457–473

    Article  Google Scholar 

  • Tourre YM, Jarlan L, Lacaux J-P, Rotela CH, Lafaye M (2008) Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics. Environ Res Lett 3. doi:10.1088/1748-9326/3/4/044008

  • Tucker CJ, Vanpract C, Van Sharman MJ, Ittersum G (1985) Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980–1984. Remote Sens Environ 17:233–249

    Article  Google Scholar 

  • Udelhoven T, Stellmes M, del Barrio G, Hill J (2009) Assessment of rainfall and NDVI anomalies in Spain (1989–1999) using distributed lag models. Int J Remote Sens 30:1961–1976

    Article  Google Scholar 

  • Wang JM, Rich PM, Price KP (2003) Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. Int J Remote Sens 24:2345–2364

    Article  Google Scholar 

  • Webber CL Jr, Zbilut JP (1994) Dynamical assessment of physiological systems and states using recurrence plot strategies. J Appl Physiol 76:965–973

    Google Scholar 

  • Xiao JF, Moody A (2004) Trends in vegetation activity and their climatic correlates: China 1982 to 1998. Int J Remote Sens 25:5669–5689

    Article  Google Scholar 

  • Yang L, Wylie BK, Tieszen LL, Reed BC (1998) An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. Northern and Central Great Plains. Remote Sens Environ 98:25–37

    Article  Google Scholar 

  • Zbilut JP, Giuliani A, Webber CL Jr (1998) Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification. Phys Lett A 246:122–128

    Article  Google Scholar 

  • Zhou L, Kaufmann RK, Tian Y, Myneni RB, Tucker CJ (2003) Relation between interannual variations in satellite measures of northern forest greenness and climate between 1982 and 1999. J Geophpy Res 108:4004

    Article  Google Scholar 

Download references

Acknowledgments

Joint recurrence quantification analysis was done using the cross recurrence toolbox developed by Dr. Norbert Marwan at the Potsdam Institute for Climate Impact Research. The authors gratefully acknowledge his help in providing access to this toolbox. Financial support was provided by National Key Research Development Plan (grant no. 2010CB951704) and National Natural Science Foundation of China, No. 40771001 and No. 40971052.

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Correspondence to Shuangcheng Li.

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Li, S., Zhao, Z., Wang, Y. et al. Identifying spatial patterns of synchronization between NDVI and climatic determinants using joint recurrence plots. Environ Earth Sci 64, 851–859 (2011). https://doi.org/10.1007/s12665-011-0909-z

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  • DOI: https://doi.org/10.1007/s12665-011-0909-z

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