F. Belda et J. Melia, Relationships between climatic parameters and forest vegetation: application to burned area in Alicante (Spain), FOREST ECOL, 135(1-3), 2000, pp. 195-204
The main aims of this study is to examine the variability of normalized dif
ference vegetation index (NDVI) on forest vegetation in Alicante (Spain) be
tween 1984 and 1994 and to analyse the influence of climatic parameters in
the regeneration of forest areas burned by fires. The zone of study is loca
ted between XUTM (m) 730400-760400 and YUTM (m) 4274000-4304000 and is char
acterised by a great topographic complexity that leads to diverse microclim
atic conditions. In this area, the maximum annual rainfall of the Valencian
Community is recorded, reaching 850 mm of average annual rainfall (Belda,
1997). We examined the spatial and temporal analyse of rainfall and soil mo
isture over this area. To do this, we analysed the water balances of 25 met
eorological stations from the Spanish Meteorological Institute, and we used
the Kriging method for their interpolation.
On the other hand, to perform multitemporal variation of the amount of vege
tation, we have several Landsat TM images from 1984 to 1994 (bands 3 and 4)
to calculate the NDVI. The image processing consisted of geometric and rad
iometric correction (atmospheric and topographic) to superimpose all the im
ages and to make their multitemporal comparison possible. Geographical Info
rmation System (GIS) was used to monitor forest vegetation and its relation
ship with climatic parameters (rainfall and soil moisture), particularly ID
RISI, where we integrated information from remote sensing and ground data c
ollection. Finally, it appears that NDVI is useful in estimating the variat
ion of amount of vegetation for a long period. In spatial and temporal anal
yse, the oscillation of the NDVI was low. In general, the wet area had high
er values than the dry area. In the burned area, the regeneration followed
an exponential curve which was stronger in wet zones and had high correlati
on coefficients. (C) 2000 Elsevier Science B.V. All rights reserved.