Regional Climate Variability Impacts on the Annual Grape Yield in Mendoza, Argentina

被引:29
作者
Agosta, Eduardo
Canziani, Pablo
机构
[1] Pontificia Univ Catolica Argentina, Equipo Interdisciplinario Estudio Proc Atmosfer C, Buenos Aires, DF, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
关键词
SUMMER PRECIPITATION; COLD-HARDINESS; ENSO; PACIFIC; QUALITY; OSCILLATION; TRANSITION; SEA;
D O I
10.1175/JAMC-D-11-0165.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Mendoza Province is the major Argentinian vitivinicultural region, and its grape production is fundamental for the national vintage. The 1979-2009 climate-annual grape yield relationships are analyzed, and total grape yield is shown to depend significantly on regional "summer" (October March) precipitation. Precipitation negatively affects yields through plant disease and damage/destruction by hail. At interannual scales, summer regional precipitation variability can explains 25% of the yield variance. Summer precipitation modulates yield with a 6-8-yr period: wet (dry) summers can be associated with larger (smaller) grape damage/loss probability during the summer preceding the vintage, as well as lower (higher) grape yields in the subsequent annual campaign because of bud damage. With respect to monthly mean precipitation at Mendoza Observatory, wetter Novembers/Decembers can lead to lower yields. Hail during the summer of the previous harvest and during December could lower yields. Winter, late spring, and early summer mean maximum temperatures can impact current and subsequent annual yields: warmer (colder) months are linked to enhanced (decreased) yields. These relationships can be associated with circulation and SST conditions in the equatorial and extratropical Pacific Ocean basin and southern South America: SSTs within the southeastern South Pacific are related to western equatorial Pacific SSTs and convection, which modify circulation and water vapor transport over southern South America. Statistical multilinear modeling shows that the observed relationships among yield, precipitation, and temperature can explain at least 60% of the observed interannual yield variability. It is thus possible to quantitatively estimate, some months in advance, the upcoming vintage's yield.
引用
收藏
页码:993 / 1009
页数:17
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