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Effects of precipitation, temperature and topographic parameters on evergreen vegetation greenery in the Western Ghats, India

  1. V. Krishna Prasad1,*,
  2. K. V. S. Badarinath2,
  3. Anuradha Eaturu3

Article first published online: 13 FEB 2008

DOI: 10.1002/joc.1662

Issue

International Journal of Climatology

International Journal of Climatology

Volume 28, Issue 13, pages 1807–1819, 15 November 2008

Additional Information

How to Cite

Prasad, V. K., Badarinath, K. V. S. and Eaturu, A. (2008), Effects of precipitation, temperature and topographic parameters on evergreen vegetation greenery in the Western Ghats, India. Int. J. Climatol., 28: 1807–1819. doi: 10.1002/joc.1662

Author Information

  1. 1

    Agroecosystem Management Program, The Ohio State University, USA

  2. 2

    National Remote Sensing Agency, Department of Space,- Government of India, India

  3. 3

    Department of Mathematics, Kent State University, USA

*201 Thorne Hall, 1680 Madison Avenue, Agroecosystem Management Program, The Ohio State University, Wooster, OHIO, USA.

Publication History

  1. Issue published online: 16 OCT 2008
  2. Article first published online: 13 FEB 2008
  3. Manuscript Accepted: 10 NOV 2007
  4. Manuscript Received: 28 MAR 2007

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References

  • Ashton PS, Givnish TJ, Appanah S. 1988. Staggered flowering in the Diperocarpaceae: new insights into floral induction and the evolution of mast fruiting in the seasonal tropics. American Naturalist 231: 44–66.
  • Borchert R. 1998. Responses of tropical trees to rainfall seasonality and its long-term changes. Climatic Change 39: 2–3.
  • Champion HG, Seth SK. 1968. A Revised Survey of the Forest Types of India. Government of India Press: New Delhi.
  • Chen X, Xu C, Tan Z. 2001. The analysis of relationships among plant community phenology and seasonal metrics of Normalized Difference Vegetation Index on the northern part of the monsoon region of China. International Journal of Biometeorology 45: 170–177.
  • Chong IG, Jun CH. 2005. Performance of some variable selection methods when multicollinearity is present. Chemometrics And Intelligent Laboratory Systems 78: 103–112.
  • Davenport ML, Nicholson SE. 1993. On the relation between rainfall and the Normalized Difference Vegetation Index for diverse vegetation types in East Africa. International Journal of Remote Sensing 14(12): 2369–2389.
  • David H, Phillip F. 2004. Phenological description of natural vegetation in southern Africa using remotely sensed vegetation data. Applied Vegetation Science 7: 19–28.
    Direct Link:
  • Emberger L. 1942. Un projet d'une classification des climats du point de vue phytogéographique. Bulletin de la Société d'Histoire Naturelle de Toulouse 77: 97–124.
  • ESRI. 1996. Using the ArcView Spatial Analyst. Environmental Systems Research Institute, Inc: Redlands: CA. 350pp.
  • Farrar TJ, Nicholson SE, Lare AR. 1994. The influence of soil type on the relationships between NDVI, rainfall and soil moisture in semiarid Botswana. II. NDVI response to soil moisture. Remote Sensing of Environment 50: 121–133.
  • Fuller DO, Prince SD. 1996. Rainfall and foliar dynamics in tropical Southern Africa: potential impacts of global climatic change on savanna vegetation. Climatic Change 33: 69–96.
  • Gadgil S, Joshi NV. 1983. Climatic clusters of the Indian region. Journal of Climatology 3: 47–53.
    Direct Link:
  • Gensuo JJ, Howard EHE, Walker DA. 2002. Spatial characteristics of AVHRR-NDVI along latitudinal transects in northern Alaska. Journal of Vegetation Science 13: 315–326.
    Direct Link:
  • Goetz SJ, Fiske GJ, Bunn AG. 2006. Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada. Remote Sensing of Environment 101: 352–365.
  • Goward SA. 1989. Satellite bioclimatology. Journal of Climate 7: 710–720.
  • Goward SN, Tucker CJ, Dye DG. 1985. North American vegetation patterns observed with the NOAA-7 advanced very high-resolution radiometer. Vegetatio 64: 3–14.
  • Gunnell Y. 1997. Relief and climate in South-Asia: the influence of the Western Ghats on the current climate pattern of Peninsular India. International Journal of Climatology 17: 1169–1182.
    Direct Link:
  • Holben BN. 1986. Characterization of maximum value composites from temporal AVHRR data. International Journal of Remote Sensing 7: 1417–1434.
  • Huete AR. 1988. A soil adjusted vegetation index (SAVI). Remote Sensing of Environment 25: 295–309.
  • Ichii K, Kawabata A, Yamaguchi Y. 2002. Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982–1990. International Journal of Remote Sensing 23(18): 3873–3878.
  • Jensen JR. 2000. Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edn. Prentice-Hall, Inc.: Upper Saddle River, NJ; 544.
  • Jolly WM, Running SW. 2004. Effects of precipitation and soil water potential on drought deciduous phenology in the Kalahari. Global Change Biology 10: 303–308.
    Direct Link:
  • Juarez R, Liu WT. 2001. FFT analysis on NDVI annual cycle and climatic regionality in northeast Brazil. International Journal of Climatology 21: 1803–1820.
    Direct Link:
  • Justice CO, Holben BN, Gwynne MO. 1986. Monitoring East African vegetation using AVHRR data. International Journal of Remote Sensing 7: 1453–1474.
  • Karlsen SR, Elvebakk A, Høgda KA, Johansen B. 2006. Satellite-based mapping of the growing season and bioclimatic zones in Fennoscandia. Global Ecology and Biogeography 15: 416–430.
    Direct Link:
  • Kemp PR, Gardetto PE. 1982. Photosynthetic pathway types of evergreen rosette plants (Liliaceae) of the Chihuahuan desert. Oecologia 55: 149–156.
  • Kogan FN. 1997. Global Drought Watch from Space. Bull. Amer. Meteor. Soc. 78(4): 621–636.
  • Lang OL, Kappen L, Schulze ED. 1976. Water and Plant Life. Springer: Berlin, Heidelberg, New York.
  • Los SO. 1998. Estimation of the Ratio of Sensor Degradation Between NOAA AVHRR Channels 1 and 2 from Monthly NDVI Composites. IEEE Transactions on Geoscience and Remote Sensing 36(1): 206–213.
  • Malingreau J-P. 1986. Global vegetation dynamics: satellite observations over Asia. International Journal of Remote Sensing 7: 1121–1146.
  • Malo AR, Nicholson SE. 1990. A study of rainfall and vegetation dynamics in the African Sahel using normalized difference vegetation index. Journal of Arid Environments 19: 1–24.
  • Martonne E. 1926. Une Nouvelle Fonction Climatique: L'indice D'aridité. La Météo, Association des Météorologues du Québec: Québec; 449–458.
  • Mather JR, Yoshioka G. 1968. The role of climate in the distribution of vegetation. Annals of the Association of American Geographers 58: 29–41.
    Direct Link:
  • Moulin S, Kergoat L, Viovy N. 1997. Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements. Journal of Climate 10: 1154–1170.
  • Myers N, Mittermeier RA, Mittermeier CG, da Fonesca GAB, Kent J. 2000. Biodiversity hotspots for conservation priorities. Nature 403: 853–858.
  • Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR. 1997. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386: 698–702.
  • Nemani R, Keeling CD, Hashimoto H, Jolly WM, Piper SC, Tucker CJ, Myneni R, Running W. 2003. Climate driven increases in Global Terrestrial Net Primary Production from 1982–1999. Science 1562–1563.
  • Neter J, Kutner MH, Nachtsheim CJ, Wasserman W. 1996. Applied Linear Regression Models, 3rd edn. Irwin Book Team: Chicago, IL.
  • Nicholson SE, Farrar TJ. 1994. The influence of soil type on the relationships between NDVI, rainfall and soil moisture in semiarid Botswana. I.NDVI response to rainfall. Remote Sensing of Environment 50: 107–120.
  • Nightingale JM, Phinn SR. 2003. Assessment of relationships between precipitation and satellite derived by vegetation condition within south Australia. Australian Geographical Studies 41(2): 180–195.
    Direct Link:
  • Norwine J, Greegor DH. 1983. Vegetation classification based on AVHRR satellite imagery. Remote Sensing of Environment 13: 69–78.
  • Opler PA, Frankie GW, Baker HG. 1976. Rainfall as a factor in the release, timing and synchronization of anthesis by tropical trees and shrubs. Journal of Biogeography 3: 231–236.
  • Parthasarathy B, Munot AA, Kothawale DR. 1995. Monthly and seasonal rainfall series for All-India homogeneous regions and meteorological subdivisions: 1871–1994. Research Report RR-065. Contributions from Indian Institute of Tropical Meteorology: Pune 411 008.
  • Paruelo JM, Lauenroth WK. 1998. Inter annual variability of NDVI and its relationship to climate for North American shrub lands and grasslands. Journal of Biogeography 25: 721–733.
    Direct Link:
  • Pascal JP. 1992. Evergreen forests of the Western Ghats—Structural and Functional trends. In Tropical Ecosystems: Ecology and Management, SinghKP, SinghJS (eds). Wiley Eastern Limited: New Delhi; 385–408.
  • Pascal J-P, Shyam Sunder V, Meher-Homji VM. 1982a. Forest map of South India—Sheet: Mercara-Mysore. Karnataka and Kerala Forest Departments and Institut français, Pondichéry, India.
  • Pascal J-P, Shyam Sunder V, Meher-Homji VM. 1982b. Forest map of South India—Sheet: Shimoga. Karnataka and Kerala Forests Departments and Institut français, Pondichéry, India.
  • Potter CS, Brooks V. 1998. Global analysis of empirical relationships between annual climate and seasonality of NDVI. International Journal of Remote Sensing 19: 2921–2948.
  • Ramesh BR, Pascal JP. 1991. Distribution of endemic arborescent evergreen species in the Western Ghats. Proceedings of the Symposium On Rare, Endangered and Endemic Species of the Western Ghats. Kerala Forest Department: Tiruvananthapuram; 1–7.
  • Reed BC, White M, Brown JF. 2003. Remote sensing phenology. In Phenology: An Integrative Environmental Science, chap.5.1, SchwartzMD (ed.). Springer: New York; 365–381.
  • Reich PB, Borchert R. 1984. Water stress and tree phenology in a tropical dry forest in the tropical dry forest lowlands of Costa Rica. Journal of Ecology 72: 61–74.
  • Richard Y, Poccard I. 1998. A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. International Journal of Remote Sensing 19(15): 2907–2920.
  • Rivas-Martínez S, Sánchez-Mata D, Costa M. 1999. North American boreal and Western temperate forest vegetation (Syntaxonomical synopsis of the potential natural plant communities of North America II). Itinera Geobotánica 12: 5–31.
  • Sakai S. 2001. Phenology diversity in tropical forests. Population Ecology 43: 77–86.
  • Schultz P, Halpert M. 1995. Global analysis of the relationships among a vegetation index, precipitation and land surface temperature. International Journal of Remote Sensing 16: 2755–2777.
  • Schwartz MD, Reed BC. 1999. Surface phenology and satellite sensor-derived onset of greenness: An initial comparison. International Journal of Remote Sensing 20: 3451–3457.
  • Singh N. 1986. On the duration of the rainy season over different parts of India. Theoretical and Applied Climatology 37: 51–62.
  • Slayback DA, Pinzon JE, Los SO, Tucker CJ. 2003. Northern Hemisphere photosynthetic trends 1982–99. Global Change Biology 9: 1–15.
    Direct Link:
  • Suzuki R, Masuda K. 2004. Interannual covariability found in evapotranspiration and satellite-derived vegetation indices over northern Asia. Journal of the Meteorological Society of Japan 82(4): 1,233–1,241.
  • Suzuki R, Tanaka S, Yasunari T. 2000. Relationships between meridonal profiles of satellite-derived vegetation index (NDVI) and climate over Siberia. International Journal of Climatology 20: 955–967.
    Direct Link:
  • Suzuki R, Xu J, Motoya K. 2006. Global analyses of satellite-derived vegetation index related to climatological wetness and warmth. International Journal of Climatology 26: 425–438.
    Direct Link:
  • Tateishi R, Kajiwara K. 1992. Global land cover monitoring by AVHRR NDVI data. Earth Environment 7: 4–14.
  • Tateishi R, Ebata M. 2004. Analysis of phenological change patterns using 1982–2000. Advanced Very High Resolution Radiometer (AVHRR) data. International Journal of Remote Sensing 25(4): 2287–2300.
  • Townshend JRG, Justice CO. 1986. Analysis of the dynamics of African vegetation using the normalized difference vegetation Index. International Journal of Remote Sensing 7: 1435–1445.
  • Tucker CJ, Sellers PJ. 1986. Satellite remote sensing of primary production. International Journal of Remote Sensing 7: 1395–1416.
  • Tucker CJ, Pinzon JE, Brown ME. 2004. Global Inventory Modeling and Mapping Studies, NA94apr15b.n11-VIg, 2.0, Global Land Cover Facility, University of Maryland, College Park, 04/15/1994.
  • Tucker CJ, Pinzon JE, Brown ME, Slayback D, Pak EW, Mahoney R, Vermote E, El Saleous N. 2005. An Extended AVHRR 8-km NDVI Data Set Compatible with MODIS and SPOT Vegetation NDVI Data. International Journal of Remote Sensing 26(20): 4485–5598.
  • USGS. 2006. United States Geological Survey, GTOPO 30 data. < http://edc.usgs.gov/products/elevation/gtopo30/gtopo30.html>.
  • van Schaik CP, Terborgh JW, Wright SJ. 1993. The phenology of tropical forests-Adaptive significance and consequences for primary consumers. Annual Review of Ecology and Systematics 24: 353–377.
  • Wang JM, Rich PM, Price KP. 2003. Temporal response of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing 24(11): 2345–2364.
  • White MA, Thorton PE, Running SW. 1997. A continental phenology model for monitoring vegetation responses to inter annual climatic variability. Global Biogeochemical Cycles 11(2): 217–234.
  • Wright SJ, van Schaik CP. 1994. Light and the phenology of tropical trees. American Naturalist 143: 192–1999.
  • Wold H. 1981. The Fix-Point Approach to Interdependent Systems. North Holland: Amsterdam.
  • Wold H. 1985. Partial least squares. In Encyclopedia of Statistical Sciences, Vol. 6, SamuelKotz, NormanL Johnson (eds). Wiley: New York; 581–591.
  • Woodward FI, McKee IF. 1991. Vegetation and climate. Environment International 17: 535–546.
  • Zhou L, Kaufmann RK, Tian Y, Myneni RB, Tucker CJ. 2003. Relation between internannual variations in satellite measures of northern forest greenness and climate between 1982 and 1999. Journal of Geophysical Research 108(D1):4004, DOI:10.1029/2002JD002510.
  • Zhou LM, Tucker CJ, Kaufmann RK, Slayback D, Shabanov NV, Myneni RB. 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. Journal of Geophysical Research-Atmospheres 106(D17): 20069–20083.
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