Author/Authors :
Christopher Potter، نويسنده , , VIPIN KUMAR، نويسنده , , Steven Klooster، نويسنده , , RAMAKRISHNA NEMANI، نويسنده ,
Abstract :
Recent patterns of land cover and vegetation dynamics on the Euasian continent have been linked to changes in the
global carbon cycle. Our study was conducted to evaluate patterns in a 19-yr record of global satellite observations of
terrestrial vegetation from the Advanced Very High Resolution Radiometer (AVHRR) as a means to characterize major
trends in both vegetation ‘greenness’ and ecosystem disturbance. The fraction absorbed of photosynthetically active
radiation (FPAR) by vegetation canopies worldwide has been computed from the AVHRR at a monthly time interval
from 1982 to 2000 and gridded at a spatial resolution of 8 km globally. Unlike previous studies of the AVHRR multiyear
time-series of vegetation dynamics, the 8-km spatial resolution makes it possible to compare disturbance events and
greenness trends at the same level of spatial detail. Positive trends in FPAR were detected throughout a major greenbelt
of central-eastern Europe starting in the mid-1980s. This Eurasian greenbelt extended in a wide swath over the Urals, into
the vicinity of Lake Baykal south of the central Siberian plateau, mainly along a latitude belt from 55◦N to 65◦N. There
was also significantly positive greening in relatively large areas of Great Britain, Italy, Greece, Turkey, the Caucasus and
southern India. Nonetheless, a strong downward trend in the FPAR time-series over most of Eurasia was observed by
the end of the 1990s. Throughout the 19-yr time period, Eurasia was also impacted by many notable droughts and other
disturbance events that could have substantially offset decadal carbon gains attributed to satellite-observed greening.
Large-scale ecosystems disturbance events were identified in the FPAR time-series by locating anomalously low values
(FPAR-LO) that lasted longer than 12 consecutive months at any 8-km pixel. We find verifiable evidence of numerous
disturbance types across Eurasia, including regional patterns of severe droughts, forest fires and insect outbreaks.