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Spatial and temporal variations in biogenic volatile organic compound emissions for Africa south of the equator
Author(s) -
Otter L.,
Guenther A.,
Wiedinmyer C.,
Fleming G.,
Harley P.,
Greenberg J.
Publication year - 2003
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2002jd002609
Subject(s) - isoprene , environmental science , subtropics , equator , vegetation (pathology) , woodland , atmospheric sciences , seasonality , volatile organic compound , climatology , geography , ecology , latitude , geology , chemistry , biology , geodesy , medicine , organic chemistry , pathology , copolymer , polymer
Improved vegetation distribution and emission data for Africa south of the equator were developed for the Southern African Regional Science Initiative (SAFARI 2000) and were combined with biogenic volatile organic compound (BVOC) emission measurements to estimate BVOC emissions for the southern African region. The BVOCs are estimated to total 80 Tg C yr −1 for the region, with isoprene and monoterpenes contributing 56 and 7 Tg C yr −1 , respectively. The large uncertainties, particularly in terms of basal emission capacity assignment, associated with these outputs are discussed. Woodlands are predicted to be the dominant vegetation type, covering 23% of southern Africa, and are the largest annual source of isoprene (20 Tg C), monoterpenes (3 Tg C), and other VOCs (4 Tg C). Mopane savannas and woodlands are predicted to contribute over 75% of all monoterpenes, primarily from light‐dependent emission processes. Rain forests cover only 3.5% of the total area but have high annual emission rates (9.8 g C m −2 yr −1 ). In the tropical regions with high rainfall, warm temperatures, and high plant productivity throughout the year, the seasonal variation in VOC emissions was small. In subtropical regions, dominated by highly seasonal savannas and grasslands, large variations were predicted, with emissions declining by up to 85% during dry winter periods (June–August) due to low leaf area index after leaf drop.

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