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Ecosystem CO sub(2) production during winter in a Swedish subarctic region: the relative importance of climate and vegetation type

机译:瑞典亚北极地区冬季生态系统CO sub(2)的生产:气候和植被类型的相对重要性

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General circulation models consistently predict that regional warming will be most rapid in the Arctic, that this warming will be predominantly in the winter season, and that it will often be accompanied by increasing snowfall. Paradoxically, despite the strong cold season emphasis in these predictions, we know relatively little about the plot and landscape-level controls on tundra biogeochemical cycling in wintertime as compared to summertime. We investigated the relative influence of vegetation type and climate on CO sub(2) production rates and total wintertime CO sub(2) release in the Scandinavian subarctic. Ecosystem respiration rates and a wide range of associated environmental and substrate pool size variables were measured in the two most common vegetation types of the region (birch understorey and heath tundra) at four paired sites along a 50 km transect through a strong snow depth gradient in northern Sweden. Both climate and vegetation type were strong interactive controls on ecosystem CO sub(2) production rates during winter. Of all variables tested, soil temperature explained by far the largest amount of variation in respiration rates (41-75%). Our results indicate that vegetation type only exerted an influence on respiration when snow depth was below a certain threshold ( similar to 1 m). Thus, tall vegetation that enhanced snow accumulation within that threshold resulted in more effective thermal insulation from severe air temperatures, thereby significantly increasing respiratory activity. At the end of winter, within several days of snowmelt, gross ecosystem photosynthesis rates were of a similar magnitude to ecosystem respiration, resulting in significant net carbon gain in some instances. Finally, climate and vegetation type were also strong interactive controls on total wintertime respiration, suggesting that spatial variations in maximum snowdepth may be a primary determinant of regional patterns of wintertime CO sub(2) release. Together, our results have important implications for predictions of how the distribution of tundra vegetation types and the carbon balances of arctic ecosystems will respond to climate change during winter because they indicate a threshold ( similar to 1 m) above which there would be little effect of increased snow accumulation on wintertime biogeochemical cycling.
机译:一般的环流模型一致地预测,北极地区的变暖将是最快的,这种变暖将主要发生在冬季,并且通常伴随着降雪的增加。矛盾的是,尽管在这些预测中重点强调了寒冷季节,但与夏季相比,我们对冬季冻原生物地球化学循环的地块和景观水平控制知之甚少。我们调查了植被类型和气候对斯堪的纳维亚亚北极地区CO sub(2)生产率和冬季CO sub(2)释放总量的相对影响。在沿50 km横断面的一个强雪深度梯度中,在该地区的两种最常见的植被类型(桦树下层和荒地苔原)的四个配对点上,测量了生态系统的呼吸速率以及各种相关的环境和底物库大小变量。瑞典北部。冬季,气候和植被类型都是对生态系统CO sub(2)生产率的强相互作用控制。在所有测试变量中,土壤温度是呼吸速率变化的最大量(41-75%)。我们的结果表明,植被类型仅在雪深低于一定阈值(类似于1 m)时才对呼吸产生影响。因此,在该阈值内增强积雪的高大植被导致与严酷的空气温度更加有效的隔热,从而显着增加了呼吸活动。冬季结束时,在融雪的几天之内,生态系统的总光合作用速率与生态系统的呼吸相似,因此在某些情况下会导致大量的净碳增加。最后,气候和植被类型也是冬季总呼吸的强相互作用控制,表明最大雪深的空间变化可能是冬季CO sub(2)释放区域模式的主要决定因素。总之,我们的结果对于预测冻原苔藓植被类型的分布和北极生态系统的碳平衡在冬季将如何响应气候变化具有重要意义,因为它们表明一个阈值(类似于1 m),高于该阈值将几乎没有影响。冬季生物地球化学循环中积雪增加。

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