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Growing season changes in Fennoscandia and Kola peninsula during the period 1982 to 1999 - Implications for reindeer husbandry (In Norwegian with Summary in English)

机译:1982年至1999年期间芬诺斯坎迪亚和科拉半岛的生长季节变化-对驯鹿业的影响(挪威语,英语摘要)

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Climate change and particularly variations in air temperature have significant impacts on the growth rhythm of plants where these occur at the limits of their natural distribution range, especially at northern latitudes. Our study area, Fennoscandia and Kola Peninsula, is characterized by large regional climatic differences from south to north, from west to east, and from lowland to mountains. Accordingly, the region is well suited for looking for evidence of climatic change and studying regional differences in the response of such change. The International Panel on Climate Change (IPCC) reports that the projected warming in northern Europe is greater than for many other regions of the world. Therefore major physical and ecological changes are expected. On land, there will be a tendency for shifts in major biomes such as tundra and boreal forest. Permafrost will decline, trees and shrubs will encroach northern tundra, and broad-leaved trees may encroach coniferous forests. Net primary productivity in ecosystems is likely to increase. The temperature level at the end of the 20th century is ca. 0.5 oC higher than in the 1930 for the Northern hemisphere (IPCC and World Meteorological Organization). Other studies show that in the period 1890-1999, the increase in temperature over Fennoscandia varies between 0.02 (Karasjok) and 0.1 oC decade-1 (Helsinki), and they also showed that at several stations within the area the spring temperatures have increased steadily throughout the 20th century. Most stations experienced low spring temperatures in the beginning of the century, and rather high temperatures around 1950. At present, the winter temperature levels are considerably higher than in the rest of the period. However, at northern stations the winter temperatures were higher in the 1930s than at present. Phenological registrations have been used word-wide to look for possible effects of climate change, but within Fennoscandia the problem is that phenological registrations are sparse. On Kola Peninsula, however, such observations can be tracked back more than 70 years. The few existing historical series may be useful for local studies of climatic and environmental effects through time. However, the rugged topography within the area, with its large variations in micro and local climate and thus growing conditions, makes it difficult to draw conclusions for regions or larger areas. Accordingly, in order to document the effects of the current climatic trend there is a need for objective methods applicable on a regional level. Hence, satellite data is probably the only realistic way of documenting regional trends in phenological events within Fennoscandia and Kola Peninsula. However, there are very few time-series of data available that span a sufficient time-period to be useful for trend analysis. The only long-time series with sufficient spatial coverage and temporal resolution is the NOAA AVHRR GIMMS NDVI dataset produced by Dr. Tucker at NASA, at present covering the period from July 1981 to December 2002. This dataset has been used for several global studies, but for our purpose the main challenge is the low spatial resolution of 8x8 km2. For a typical Norwegian coastal area, within one pixel there will be all types of land-cover types from ocean to rich vegetated lowland to non-vegetated high mountains and glaciers. The advantage with this dataset is that it is based on satellite data acquired several times a day, and therefore it is very good to use in order to follow "the green wave" of vegetation during springtime. Accordingly, it is of importance to investigate whether this dataset can be applied to document the regional phenological differences within the region, and whether phonological trends that may be related to climate change is observed. The NOAA AVHRR GIMMS NDVI data set obtained from weather satellites was together with in-situ data and climate data used to investigate regional climatic change impact on the length of the growing season in Fennoscandia and Kola Peninsula during the last two decades. We used phenological observation data for birch (Betula pubescens), and birch give a significant contribution to the reflectance from the ground in order to analyze the satellite data. A method using an individual threshold NDVI value for defining the onset of the growing season applied to each pixel for each year was chosen, and a high correlation was found between the NDVI data and in-situ phenological data on onset of leafing of birch. Determining the end of growing season based on a threshold NDVI value shows a lower correlation with surface data, but the timing by the set threshold is observed to measure somewhere in-between the onset of yellowing and all leaves fallen. In general, the results show a pattern according to vegetation zones and the altitude gradient, and partly according to vegetation sections. There are high regional differences in trends in the onset of spring. In the southern part
机译:气候变化,尤其是气温的变化,对植物的生长节律有重大影响,这些节律发生在自然分布范围的极限处,特别是在北纬地区。我们的研究区Fennoscandia和Kola半岛的特征是,从南到北,从西到东,从低地到山脉,区域气候差异很大。因此,该地区非常适合寻找气候变化的证据,并研究应对气候变化的地区差异。国际气候变化专门委员会(IPCC)报告说,北欧预计的变暖幅度大于世界上其他许多地区。因此,预期重大的物理和生态变化。在陆地上,苔原和北方森林等主要生物群落将有转移的趋势。多年冻土将下降,树木和灌木将侵蚀北部的苔原,阔叶树木可能会侵蚀针叶林。生态系统的净初级生产力可能会增加。 20世纪末的温度水平大约为。北半球(IPCC和世界气象组织)的温度比1930年高0.5 oC。其他研究表明,在1890-1999年期间,Fennoscandia的温度升高在0.02(Karasjok)和0.1 oC October-1(赫尔辛基)之间变化,并且还表明在该区域内的几个站点,春季温度一直稳定升高。在整个20世纪。在本世纪初,大多数台站的春季气温较低,而1950年左右的气温较高。目前,冬季温度水平明显高于其余时段。但是,北部站点的冬季温度在1930年代比现在更高。物候登记已被用于整个单词,以寻找气候变化的可能影响,但是在芬诺斯堪的亚内部,问题在于物候登记稀疏。但是,在科拉半岛上,这种观测可以追溯到70多年以前。现有的少量历史系列资料可能对当地随时间变化的气候和环境影响研究有用。然而,该地区崎within的地形,微观和局部气候的巨大差异以及随之而来的生长条件,使得很难为该地区或更大的区域得出结论。因此,为了记录当前气候趋势的影响,需要适用于区域水平的客观方法。因此,卫星数据可能是记录芬诺斯坎迪亚和科拉半岛内部物候事件的区域趋势的唯一现实方法。但是,几乎没有足够的时间序列数据可以跨越足够的时间段来用于趋势分析。 Tucker博士在NASA产生的NOAA AVHRR GIMMS NDVI数据集是唯一具有足够的空间覆盖范围和时间分辨率的长期序列,目前涵盖1981年7月至2002年12月。该数据集已用于多项全球研究,但就我们的目的而言,主要挑战是8x8 km2的低空间分辨率。对于典型的挪威沿海地区,一个像素之内便是各种各样的土地覆盖类型,从海洋到植被丰富的低地,再到无植被的高山和冰川。该数据集的优点在于它基于一天几次获取的卫星数据,因此非常有用,可以用来在春季追踪植被的“绿浪”。因此,调查该数据集是否可用于记录该区域内的区域物候差异以及是否观察到可能与气候变化有关的语音趋势非常重要。从气象卫星获得的NOAA AVHRR GIMMS NDVI数据集与原位数据和气候数据一起,用于调查过去20年中区域气候变化对芬诺斯坎迪亚和科拉半岛生长期的影响。我们将物候观测数据用于桦树(Betula pubescens),为了分析卫星数据,桦树对地面反射率做出了重大贡献。选择了一种使用单独的NDVI阈值来定义每年应用于每个像素的生长期的方法,并且在NDVI数据与桦树上叶发作的原位物候数据之间发现了高度相关性。基于阈值NDVI值确定生长季节的结束与表面数据的相关性较低,但是可以观察到通过设置阈值确定的时机可以测量出黄化开始与所有落叶之间的某个位置。通常,结果显示出根据植被区域和海拔梯度以及部分根据植被剖面的模式。春季来临的趋势存在很大的地区差异。在南部

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