Welcome to Open Science
Contact Us
Home Books Journals Submission Open Science Join Us News
Investigating Response of Global Vegetation to ENSO Events Between 1987 and 1997 Using NDVI Data
Current Issue
Volume 2, 2015
Issue 5 (October)
Pages: 76-83   |   Vol. 2, No. 5, October 2015   |   Follow on         
Paper in PDF Downloads: 29   Since Sep. 29, 2015 Views: 1710   Since Sep. 29, 2015
Authors
[1]
Insaf S. Babiker, Department of Geology, Faculty of Science, University of Khartoum, Khartoum, Sudan.
[2]
Mohamed A. A. Mohamed, College of Water and Environmental Engineering, Sudan University of Science and Technology, Khartoum, Sudan.
[3]
Tetsuya Hiyama, Hydrospheric Atmospheric Research Center, Nagoya University, Chikusa-ku, Furo-cho, Nagoya, Japan.
[4]
Keiichi Ikeda, Hydrospheric Atmospheric Research Center, Nagoya University, Chikusa-ku, Furo-cho, Nagoya, Japan.
[5]
N. Kobayashi, Hydrospheric Atmospheric Research Center, Nagoya University, Chikusa-ku, Furo-cho, Nagoya, Japan.
[6]
Kikou Kato, Hydrospheric Atmospheric Research Center, Nagoya University, Chikusa-ku, Furo-cho, Nagoya, Japan.
Abstract
El Niño Southern Oscillation (ENSO) influences extensive regions around the globe causing global weather changes and affecting both marine and land ecosystems. ENSO events are also frequently held responsible for much of the variation in carbon fixation by terrestrial biosphere pool. The timing and size of the response of eight global vegetation biomes to ENSO events between 1987 and 1997 were investigated employing monthly Normalized Difference Vegetation Index (NDVI), temperature and precipitation data and monthly anomalies of sea surface temperature in the tropical Pacific. Lagged correlation analyses were used to identify times when the relationship between vegetation condition and ENSO is most robust and standardized NDVI departures were computed to estimate the size of vegetation response to ENSO. Warm ENSO phases appear to have delayed (7~17 months) and protracted negative impacts on vegetation in all biomes related in most cases to a decrease in precipitation but rarely to an increase of temperature. This impact starts earlier in the tropical and subtropical regions but delays in the temperate and cold regions. Positive/negative impacts of warm/cold ENSO phases on global vegetation are instantaneous and brief. Interestingly, the result also indicates that ENSO has significant impacts on Boreal forests which were previously considered to have little or weak association with ENSO. Almost in all biomes, warm ENSO phases tend to result in below average NDVI while cold and neutral phases tend to result in above average NDVI with significant departures being more frequent during cold and neutral phases.
Keywords
ENSO, Climatic Parameters, Terrestrial Vegetation, NDVI, Lagged Correlation
Reference
[1]
Holmgren, M., Scheffer, M., Ezcurra, E., Gutiérrez, J. R., Mohren, G. M. J. 2001. El Niño effects on the dynamics of terrestrial ecosystems, TRENDS in Ecol&Evol. 16 (2): 89-94.
[2]
Francey, R. J., Tans, P. P., Allison, C. E., Enting, I. G., White, J. W. C., Trolier, M. 1995. Changes in Oceanic and terrestrial carbon uptake since 1982. Nature. 373: 326-330.
[3]
Keeling, C. D., Whorf, T. P., Wahlen, M., van der Plicht, J. 1995. Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980. Nature 375: 666-670.
[4]
Tian, H., Melillo, J. M., Kicklighter, D. W., McGuire, A. D., Helfrich III, J. V. K., Moore III, B., Vörösmarty, C. J. 1998. Effect of interannual climate variability on carbon storage in Amazonian ecosystems. Nature 396: 664-667.
[5]
Behrenfeld, M. J., Randerson, J. T., McClain, C. R., Feldman, G. C., Los, S. O., Tucker, C. J., Falkowski, P. G., Field, C. B., Frouin, R., Esaias, W. E., Kolber, D. D., Pollack, N. H. 2001. Biospheric primary production during an ENSO transition. Science. 291(5513): 2594-2597.
[6]
Kogan, F. N. 2000. Satellite-observed sensitivity of world land ecosystems to El Niño/La Niña, Rem Sens Enviro. 74: 445-462.
[7]
Tucker, C. J., Dregne, H. E., Newcobb, W. W. 1991. Expansion and contraction of the sahara Desert from 1980 to 1990. Science 253: 299-301.
[8]
Eastman, J., Fulk, M. A. 1993. Time series analysis of remotely sensed data using standardized principal components. Proc. of the 25th. International Symposium Remote Sensing and Global Environmental Change, Graz, Austria Ann Arbor, MI, USA: ERIM. 1: 1485-1496.
[9]
Anyamba, A. and Eastman, J. R. 1996. Inter-annual variability of NDVI over Africa and its relation to El Niño /Southern Oscillation. Int J Rem Sens. 17(13): 2533-2548.
[10]
Liu, W. T., Juarez, R. I. 2001. ENSO drought onset prediction in Northeast Brazil using NDVI. Int J Rem Sens. 17: 3483-3501.
[11]
Poveda, G., Salazar, L. F. 2004. Annual and inter-annual (ENSO) variability of spatial scaling properties of a vegetation index (NDVI) in Amazonia. Rem Sens Env. 93: 391-401.
[12]
Salinas-Zavala, C. A., Douglas, A. V., Diaz, H. F. 2002. Inter-annual variability of NDVI in northwest Mexico. Associated climatic mechanism and ecological implications. Rem Sens Env. 82: 417-430.
[13]
Rao, C. R. N., Chen, J. 1999. Revised post-launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-14 spacecraft, Int J Rem. Sens. 20: 3485-3491.
[14]
Chen, Z. M., Babiker, I. S., Chen, Z. X., Komaki, K., Mohamed, A. A. M., Kato, K. 2004. Estimation of inter-annual variation in productivity of global vegetation using NDVI data. Int J Rem Sens. 25 (16): 3139-3159.
[15]
IPCC, Farquhar, G. D., Fashman, M. J. R., Goulden, M. L., Heiman, M., Jaramillo, V. J., Kheshge, H. S., Le Quere, C. L., Scholes, R. J., Wakkace, D. W. R. 2001. The carbon cycle and atmospheric carbon dioxide. In: Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K., Johnson, C. A. (Eds.). Climate change 2001: The scientific basis. Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 183-237.
[16]
Trenberth, K. E. 1997. The definition of El Niño, Bulletin of American Meteorological Society. 78: 2771-277.
[17]
Trenberth, K. E., Hoar, T. J. 1996. The 1990-1995 El Niño -Southern Oscillation event: Longest on record. Geophys Res Lett. 23: 57-60.
[18]
Sarkar, S., Kafatos, M. 2004. Inter-annual variability of vegetation over the Indian sub-continent and its relation to the different meteorological parameters. Rem Sens Env. 90: 268-280.
[19]
Mohamed, A. A. M., Babiker, I. S., Chen, Z. M., Ikeda, K., Ohta, K., Kato, K. 2004. The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP). sci Tot Env. 332(1-3): 123-137.
[20]
Halpert, M. S., Ropeleweski, C. F. 1992. Surface temperature patterns associated with the Southern Oscillation. J Climate. 5: 577-593.
[21]
Braswell, B. H., Schimel, D. S., Linder, E., Moore III, B. 1997. The response of global terrestrial ecosystems to inter-annual temperature variability. Science. 278: 870-872.
[22]
Mantuna, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., Francis, R. C. 1997. A Pacific inter-decadal climate oscillation with impacts on salmon production. Bull Amer Meteor Soc. 76: 1069-1080.
[23]
Douglas, A. V., Englehart, P. J. 2001. Teleconnectivity of monsoon rainfall in Mexico: variability during positive and negative phases of the PDO. Proc. 25th. Climate Diagnostic and Prediction Workshop. Palisades, NY, US Department of Commerce, NOAA. 4 pp.
[24]
Hare, S. R., Mantuna, N. J. 2000. Empirical evidence for North Pacific regime shifts in 1977 and 1989. Progress in Oceanography 47(2-4): 103-146.
[25]
Black, T. A., Chen, W. J., Barr, A. G., Arain, M. A., Chen, Z., Nesic, Z., Hogg, E. H., Neumann, H. H., Yang, P. C. 2000. Increased carbon sequestration by a boreal deciduous forest in years with a warm spring. Geoph Res Letters. 27 (9): 1271-1274.
[26]
Peters, A. J., Ji, L., Walter-Shea, E. 2003. Southeastern U. S. vegetation response to ENSO events (1989-1999). Climatic Change 60: 175-188.
Open Science Scholarly Journals
Open Science is a peer-reviewed platform, the journals of which cover a wide range of academic disciplines and serve the world's research and scholarly communities. Upon acceptance, Open Science Journals will be immediately and permanently free for everyone to read and download.
CONTACT US
Office Address:
228 Park Ave., S#45956, New York, NY 10003
Phone: +(001)(347)535 0661
E-mail:
LET'S GET IN TOUCH
Name
E-mail
Subject
Message
SEND MASSAGE
Copyright © 2013-, Open Science Publishers - All Rights Reserved