Green-wave phenology

Green-wave phenology
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DOI:
10.1038/29670
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发表时间:
1998-08
期刊:
影响因子:
64.8
通讯作者:
M. D. Schwartz
M. D. Schwartz
中科院分区:
综合性期刊1区
文献类型:
--
作者:
M. D. Schwartz

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物候学是研究受环境因素驱动的季节性动植物活动的传统学科,它在全球气候变化研究中发现了新的相关性。到目前为止,全球物候学研究主要集中在通过卫星获得的测量结果上,低估了这些测量结果与在地面获得的信息之间的联系,这可能是因为缺乏传统的、基于地面的物候数据。然而,为了更好地理解光合作用在中纬度地区春季开始的现象,也就是所谓的“绿波”或“变绿”,需要整合传统的和卫星衍生的测量方法。在这里,我展示了基于地表的绿波模型如何将对气候变化的监测扩展到1900年,为从卫星获得的更有限的近期数据提供更长期的背景。
Phenology, the traditional study of seasonal plant and animal activity driven by environmental factors, has found new relevance in research into global climate change,,,. Global phenology research so far has concentrated on measurements obtained by satellites, downplaying connections of these measures to information obtained on the surface,, perhaps because of a lack of conventional, surface-based phenological data. However, an integration of conventional and satellite-derived measures is needed to understand better the mid-latitude spring onset of photosynthesis, known as the ‘green wave’ or ‘green-up’,,. Here I show how a surface-based green-wave model can extend the monitoring of climatic variability back to 1900, providing a longer-term context for the more limited, recent data obtained from satellites.