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Spatial and temporal variability of the phenological seasons in Germanyfrom 1951 to 1996

机译:1951年至1996年德国物候季节的时空变化

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Various indications for shifts in plant and animal phenology resulting from climate change have been observed in Europe. This analysis of phenological seasons in Germany of more than four decades (1951-96) has several major advantages: (i) a wide and dense geographical coverage of data from the phenological network of the German Weather Service, (ii) the 16 phenophases analysed cover the whole annual cycle and, moreover, give a direct estimate of the length of the growing season for four deciduous tree species. After intensive data quality checks, two different methods -linear trend analyses and comparison of averages of subintervals - were applied in order to determine shifts in phenological seasons in the last 46 years. Results from both methods were similar and reveal a strong seasonal variation. There are clear advances in the key indicators of earliest and early spring (-0.18 to -0.23 d y(-1)) and notable advances in the succeeding spring phenophases such as leaf unfolding of deciduous trees (-0.16 to -0.08 d y(-1)). However, phenological changes are less strong during autumn (delayed by +0.03 to + 0.10 d y(-1) on average). In general, the growing season has been lengthened by up to -0.2 d y(-1) (mean linear trends) and the mean 1974-96 growing season was up to 5 days longer than in the 1951-73 period. The spatial variability of trends was analysed by statistical means and shown in maps, but these did not reveal any substantial regional differences. Although there is a high spatial variability, trends of phenological phases at single locations are mirrored by subsequent phases, but they are not necessarily identical. Results for changes in the biosphere with such a high resolution with respect to time and space can rarely be obtained by other methods such as analyses of satellite data.
机译:在欧洲已经观察到由气候变化引起的动植物物候变化的各种迹象。这项对德国超过40年(1951-96)的物候季节的分析具有以下几个主要优点:(i)来自德国气象局物候网络的数据的地理范围广泛且密集,(ii)分析的16个物候期涵盖整个年度周期,此外,还可以直接估算四种落叶树种的生长期。经过大量数据质量检查后,为了确定过去46年中物候季节的变化,应用了两种不同的方法-线性趋势分析和子区间平均值的比较。两种方法的结果相似,并显示出强烈的季节性变化。早期和早春的关键指标(-0.18至-0.23 dy(-1))有明显的进展,而在随后的春季表位,如落叶乔木的叶片展开(-0.16至-0.08 dy(-1),则有明显的进展。 ))。但是,秋季的物候变化不太强烈(平均延迟+0.03至+ 0.10 d y(-1))。一般而言,生长期延长了-0.2 d y(-1)(平均线性趋势),1974-96年的平均生长期比1951-73年的最长5天。趋势的空间变异性通过统计手段进行了分析并显示在地图中,但是这些并没有显示出任何实质性的区域差异。尽管空间变异性很高,但单个位置的物候阶段的趋势会被后续阶段反映出来,但不一定相同。相对于时间和空间而言,高分辨率的生物圈变化结果很难通过其他方法(例如卫星数据分析)获得。

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