Impact of meteorological anomalies in the 2003 summer on Gross Primary Productivity in East Asia
Impact of meteorological anomalies in the 2003 summer on Gross Primary Productivity in East Asia
复制标题
2003年夏季气象异常对东亚初级生产力的影响
DOI：
10.5194/bg-7-641-2010
复制
发表时间：
2009-09
期刊：
影响因子：
4.9
通讯作者：
Li, S. -G.
中科院分区：
文献类型：
--
作者：
Yu, G. -R.;Ichii, K.;Murakami, H.;Hirata, R.;Asanuma, J.;Den, H.;Han, S. -J.;Ide, R.;Li, S. -G.
抽象的。欧亚北方在2003年夏季经历了异常的天气状况。我们研究了森林生态系统如何响应在此期间的气象异常使用的数据集收集的通量监测站点在亚洲，包括在蒙古的寒带森林，温带森林在中国和日本，在中国的亚热带森林，以及卫星遥感数据集。2003年7月至8月，一条活跃雨带在东亚中纬度地区停留了异常长的时间。2003年夏季，受雨带的影响，温带森林的光合光子通量密度（PPFD）显著降低，其第一性生产总值（GPP）较往年降低20-30%。雨带北部的冷温带森林的GPP略有提高较高的PPFD，但是，位于雨带南部的亚热带森林的GPP减少干旱胁迫，由于极端炎热和干燥的条件。计算了仲夏期间PPFD和GPP的逐年变化的相关系数，并检查了空间分布。PPFD的空间格局由卫星数据计算，GPP的空间格局由回归型模型估计，该模型由地面观测数据训练和测试。在中高纬度地区，由于光是夏季全球生产力的一个重要因素，因此两者之间的相关性是正的。另一方面，在低纬度地区出现了负相关，这表明该地区的水分限制比PPFD更重要。我们的研究表明，结合卫星遥感数据整合来自广泛地区的通量数据，可以帮助我们了解生态系统对大尺度气象现象的响应。
Abstract. Northern Eurasia experienced anomalous weather conditions in the 2003 summer. We examined how forest ecosystems responded to the meteorological anomalies during the period using the dataset collected at flux monitoring sites in Asia, including a boreal forest in Mongolia, temperate forests in China and Japan, and a sub-tropical forest in China, as well as the dataset from satellite remote sensing. From July to August 2003, an active rain band stayed in the mid-latitude in East Asia for an unusually long period. Under the influence of the rain band, the Gross Primary Production (GPP), of temperate forests was 20–30% lower in the 2003 summer than in other years due to significant reduction in the Photosynthetic Photon Flux Density (PPFD). The GPP of a cool-temperate forest in the north of the rain band was slightly enhanced by the higher PPFD; however, the GPP of a sub-tropical forest located in the south of the rain band was reduced by drought stress due to extremely hot and dry conditions. The correlation coefficients for the year-to-year changes in the PPFD and GPP during mid-summer were calculated, and the spatial distribution was examined. The spatial pattern of the PPFD was calculated by satellite data, and that of the GPP was estimated by a regression-type model, which was trained and tested by ground observation data. The correlation was positive in the mid- and high-latitudes since light was an essential factor of the summer GPP. On the other hand, a negative correlation appeared in the lower latitudes, suggesting that the water limitation was much more important than the PPFD in the region. Our study illustrated that the integration of flux data from wide areas by combining satellite remote sensing data can help us gain an understanding of the ecosystem responses to large-scale meteorological phenomena.
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影响因子：
3.1
作者：
A. Kitoh;T. Uchiyama
通讯作者：
A. Kitoh;T. Uchiyama
影响因子：
6.2
作者：
X. Wen;Guirui Yu;Xiaomin Sun;Qingkang Li;Yunfen Liu;Leiming Zhang;C. Ren;Yu-ling Fu;Zheng-Quan Li
通讯作者：
X. Wen;Guirui Yu;Xiaomin Sun;Qingkang Li;Yunfen Liu;Leiming Zhang;C. Ren;Yu-ling Fu;Zheng-Quan Li
影响因子：
8
作者：
J. Hawkins;Thomas F. Lee;J. Turk;C. Sampson;J. Kent;K. Richardson
通讯作者：
J. Hawkins;Thomas F. Lee;J. Turk;C. Sampson;J. Kent;K. Richardson
影响因子：
6.2
作者：
Jun-hui Zhang;Shijie Han;Guirui Yu
通讯作者：
Jun-hui Zhang;Shijie Han;Guirui Yu
DOI：
10.1017/cbo9780511801389.013
发表时间：
2000-03
期刊：
--
影响因子：
--
作者：
N. Cristianini;J. Shawe-Taylor
通讯作者：
N. Cristianini;J. Shawe-Taylor