首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Simulating phenological shifts in French temperate forests under two climatic change scenarios and four driving global circulation models
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Simulating phenological shifts in French temperate forests under two climatic change scenarios and four driving global circulation models

机译:在两种气候变化情景和四种驱动全球循环模式下模拟法国温带森林的物候变化

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After modeling the large-scale climate response patterns of leaf unfolding, leaf coloring and growing season length of evergreen and deciduous French temperate trees, we predicted the effects of eight future climate scenarios on phenological events. We used the ground observations from 103 temperate forests (10 species and 3,708 trees) from the French Renecofor Network and for the period 1997-2006. We applied RandomForest algorithms to predict phenological events from climatic and ecological variables. With the resulting models, we drew maps of phenological events throughout France under present climate and under two climatic change scenarios (A2, B2) and four global circulation models (HadCM3, CGCM2, CSIRO2 and PCM). We compared current observations and predicted values for the periods 2041-2070 and 2071-2100. On average, spring development of oaks precedes that of beech, which precedes that of conifers. Annual cycles in budburst and leaf coloring are highly correlated with January, March-April and October-November weather conditions through temperature, global solar radiation or potential evapotranspiration depending on species. At the end of the twenty-first century, each model predicts earlier budburst (mean: 7 days) and later leaf coloring (mean: 13 days) leading to an average increase in the growing season of about 20 days (for oaks and beech stands). The A2-HadCM3 hypothesis leads to an increase of up to 30 days in many areas. As a consequence of higher predicted warming during autumn than during winter or spring, shifts in leaf coloring dates appear greater than trends in leaf unfolding. At a regional scale, highly differing climatic response patterns were observed.
机译:在对常绿和落叶法国温带树的叶片展开,叶片着色和生长季节长度的大规模气候响应模式进行建模后,我们预测了八种未来气候情景对物候事件的影响。我们使用了来自法国Renecofor网络的103个温带森林(10种和3,708棵树)以及1997-2006年的地面观测数据。我们应用RandomForest算法从气候和生态变量预测物候事件。利用生成的模型,我们绘制了当前气候下,两种气候变化情景(A2,B2)和四种全球环流模型(HadCM3,CGCM2,CSIRO2和PCM)下整个法国的物候事件图。我们比较了2041-2070和2071-2100期间的当前观察值和预测值。平均而言,橡树的春季发育先于山毛榉的春季发育,先于针叶树的春季发育。通过温度,全球太阳辐射或潜在蒸散量(取决于物种),芽期和叶片着色的年度周期与1月,3月至4月和10月至11月的天气状况高度相关。在二十一世纪末,每种模型都预测较早的芽萌发(平均:7天)和较晚的叶子着色(平均:13天),导致生长期平均增加约20天(橡树和山毛榉林分) )。 A2-HadCM3假设导致许多地区最多增加30天的时间。由于秋季比冬季或春季预测的暖化更高,叶片着色日期的变化似乎大于叶片展开的趋势。在区域范围内,观察到了截然不同的气候响应模式。

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